Table of Contents

• Digital HealthOphir Frieder. 1-2 [doi]
• Please meet AI, Our Dear New Colleague. In other Words: Can Scientists and Machines Truly Cooperate?Iryna Gurevych. 3-4 [doi]
• BM25 and all that - a look backStephen Robertson. 5-8 [doi]
• DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational SearchSimon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas. 9-19 [doi]
• Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification GenerationAnfu Tang, Laure Soulier, Vincent Guigue. 20-30 [doi]
• Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational RecommendationGuojia An, Jie Zou, Jiwei Wei, Chaoning Zhang, Fuming Sun, Yang Yang 0002. 31-41 [doi]
• MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender SystemsYibiao Wei, Jie Zou, Weikang Guo, Guoqing Wang 0001, Xing Xu 0001, Yang Yang 0002. 42-52 [doi]
• Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender SystemsRenting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen 0023, Ruiming Tang, Weinan Zhang 0001, Yong Yu 0001. 53-63 [doi]
• Bridging the Gap: From Ad-hoc to Proactive Search in ConversationsChuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai. 64-74 [doi]
• Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated UserXiaolei Wang 0005, Chunxuan Xia, Junyi Li, Fanzhe Meng, Lei Huang, Jinpeng Wang 0001, Wayne Xin Zhao, Ji-Rong Wen. 75-84 [doi]
• OmniNER2025: Diverse and Comprehensive Fine-Grained NER Dataset and Benchmark for ChineseYong Zhou, Shuaipeng Liu, Yunqing Li, Mengting Hu, Wen Dai, Xiaowei Zhao 0003, Xiujuan Xu. 85-94 [doi]
• LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?Rikiya Takehi, Ellen M. Voorhees, Tetsuya Sakai, Ian Soboroff. 95-105 [doi]
• Advancing Ship Re-Identification in the Wild: The ShipReID-2400 Benchmark Dataset and D2InterNet Baseline MethodBaolong Liu, Roukai Huang, Xin Pan, Chuanhuang Li, Jie Sun, Jianfeng Dong, Xun Wang 0007. 106-115 [doi]
• μDS: Multi-Objective Data Snippet Extraction for Dataset SearchXiao Zhou, Qiaosheng Chen, Jiageng Chen, Gong Cheng 0001. 116-126 [doi]
• IVCR-200K: A Large-Scale Multi-turn Dialogue Benchmark for Interactive Video Corpus RetrievalNing Han, Yawen Zeng, Shaohua Long, Chengqing Li, Sijie Yang, Dun Tan, Jianfeng Dong, Jingjing Chen 0001. 127-137 [doi]
• Rethinking Continual Knowledge Graph Embedding: Benchmarks and AnalysisTianzhe Zhao, Jiaoyan Chen 0001, Yanchi Ru, Qika Lin, Yuxia Geng, Haiping Zhu, Yudai Pan, Jun Liu. 138-147 [doi]
• Towards Better Evaluating Multi-Query Sessions: A Measure Based on the Theory of Planned BehaviorWenbo Zhang, Fan Zhang 0053, Jia Chen 0003, Wei Lu 0019. 148-158 [doi]
• The Viability of Crowdsourcing for RAG EvaluationLukas Gienapp, Tim Hagen, Maik Fröbe, Matthias Hagen, Benno Stein 0001, Martin Potthast, Harrisen Scells. 159-169 [doi]
• A New HOPE: Domain-agnostic Automatic Evaluation of Text ChunkingHenrik Brådland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum, Aditya Gupta. 170-179 [doi]
• The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language ModelsRonak Pradeep, Nandan Thakur, Shivani Upadhyay, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin. 180-190 [doi]
• Preference-Strength-Aware Self-Improving Alignment with Generative Preference ModelsYuanzhao Zhai, Zhuo Zhang 0007, Cheng Yang 0004, Kele Xu, Yue Yu 0001, Wei Li, Hui Wang 0030, Zenglin Xu, Dawei Feng, Bo Ding, Huaimin Wang. 191-200 [doi]
• LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information AsymmetryXiaopeng Ye, Chen Xu 0010, Zhongxiang Sun, Jun Xu 0001, Gang Wang, Zhenhua Dong, Ji-Rong Wen. 201-211 [doi]
• FashionDPO: Fine-tune Fashion Outfit Generation Model using Direct Preference OptimizationMingzhe Yu, Yunshan Ma, Lei Wu 0002, Changshuo Wang 0003, Xue Li, Lei Meng 0001. 212-222 [doi]
• Open-World Fine-Grained Fashion Retrieval with LLM-based Commonsense Knowledge InfusionJianfeng Dong, Junwei Zhu, Daizong Liu, Xiaoye Qu, Cuizhu Bao, Zhike Han, Jixiang Zhu, Xun Wang 0007. 223-232 [doi]
• Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate PredictionChunyuan Zheng 0001, Hang Pan 0006, Yang Zhang 0072, Haoxuan Li 0001. 233-243 [doi]
• Generative Auto-Bidding with Value-Guided ExplorationsJingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang 0023, Yejing Wang, Qingpeng Cai 0001, Fei Pan, Peng Jiang 0002, Kun Gai, Bo An 0001, Xiangyu Zhao 0001. 244-254 [doi]
• AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored SearchMario Villaizán-Vallelado, Matteo Salvatori, Kayhan Latifzadeh, Antonio Penta, Luis A. Leiva, Ioannis Arapakis. 255-265 [doi]
• ULP: Unlabeled Location Prediction from TextXi He, Yilin Liu, Yijie Sun, Xin-xing, Xingyu Lu, Yanbing Liu. 266-275 [doi]
• Towards Accurate Social User Geolocation: Mean Shift, Incremental Learning and Graph Convolutional NetworksYaqiong Qiao, Aobo Jiao, Xiangyang Luo, Chenliang Li, Jiangtao Ma, Chenkai Guo. 276-285 [doi]
• Are Generative AI Agents Effective Personalized Financial Advisors?Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis. 286-295 [doi]
• Brain Image Reconstruction with Retrieval-Augmented DiffusionShuqi Zhu, Ziyi Ye, Yi Zhong, Qingyao Ai, Yujia Zhou 0002, Yiqun Liu 0001. 296-305 [doi]
• LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence OptimizationXiaoshan Yu 0002, Shangshang Yang, Ziwen Wang 0006, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang 0001. 306-315 [doi]
• Interpretable Knowledge Tracing with Difficulty-Aware Attention and Selective State Space ModelYang Qin, Xinning Zhu, Xiaosheng Tang, Chunhong Zhang, Kunbao Wu, Fengjie Chang, Jianzhou Diao, Zheng Hu 0001. 316-325 [doi]
• A Knowledge Extraction Framework on Cyber Threat Reports with Enhanced Security ProfilesYongxin Cai, Jing Qiu 0002, Fan Zhang 0036, Qiang Li, Lei Chen 0002. 326-336 [doi]
• Enhancing the Patent Matching Capability of Large Language Models via the Memory GraphQiushi Xiong, Zhipeng Xu, Zhenghao Liu 0001, Mengjia Wang, Zulong Chen, Yue Sun, Yu Gu 0002, Xiaohua Li, Ge Yu 0001. 337-347 [doi]
• MIDI-Zero: A MIDI-driven Self-Supervised Learning Approach for Music RetrievalYuHang Su, Wei Hu, Hongfeng Gao, Fan Zhang. 348-357 [doi]
• How Cohesive Are Community Search Results on Online Social Networks?: An Experimental EvaluationYining Zhao, Sourav S. Bhowmick, Nastassja L. Fischer, S. H. Annabel Chen. 358-369 [doi]
• Mitigating Source Bias with LLM AlignmentSunhao Dai, Yuqi Zhou 0001, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu. 370-380 [doi]
• RankingSHAP - Faithful Listwise Feature Attribution Explanations for Ranking ModelsMaria Heuss, Maarten de Rijke, Avishek Anand. 381-391 [doi]
• BotBR: Social Bot Detection with Balanced Feature Fusion and Reliability-Enhanced Graph LearningQilong Lin, Jingya Zhou. 392-402 [doi]
• PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset UsageWenyi Zhang, Ju Jia, Xiaojun Jia, Yihao Huang 0001, Xinfeng Li, Cong Wu 0003, Lina Wang. 403-413 [doi]
• Document Screenshot Retrievers are Vulnerable to Pixel Poisoning AttacksShengyao Zhuang, Ekaterina Khramtsova, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon. 414-423 [doi]
• Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated RecommendationPengyang Zhou, Chaochao Chen 0001, Weiming Liu 0005, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang 0020, Wu Wen, Xiaolin Zheng. 424-434 [doi]
• LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News RecommendationBeizhe Hu, Qiang Sheng 0001, Juan Cao 0001, Yang Li 0196, Danding Wang. 435-445 [doi]
• The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness AssessmentMichael Soprano, Denis Eduard Tapu, David La Barbera, Kevin Roitero, Stefano Mizzaro. 446-456 [doi]
• Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-CheckingKevin Roitero, Dustin Wright 0001, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro. 457-467 [doi]
• Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment GeneratorBing Wang, Bingrui Zhao, Ximing Li 0002, Changchun Li, Wanfu Gao, Shengsheng Wang 0001. 468-478 [doi]
• Continual Origin Tracing of LLM-Generated TextHaoran Li, Quan Wang 0002. 479-489 [doi]
• Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful RecommendationsZihan Ma 0001, Minnan Luo, Yiran Hao, Zhi Zeng, Xiangzheng Kong, Jiahao Wang. 490-503 [doi]
• The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake NewsYuhan Liu, Yuxuan Liu, Xiaoqing Zhang, Xiuying Chen, Rui Yan 0001. 504-514 [doi]
• Query Smarter, Trust Better? Exploring Search Behaviours for Verifying News AccuracyDavid Elsweiler, Samy Ateia, Markus Bink, Gregor Donabauer, Marcos Fernández-Pichel, Alexander Frummet, Udo Kruschwitz, David E. Losada, Bernd Ludwig, Selina Meyer, Noel Pascual-Presa. 515-526 [doi]
• Measuring Text-Image Retrieval Fairness with Synthetic DataLluís Gómez. 527-538 [doi]
• Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in EconomicsChen Xu 0010, Jujia Zhao, Wenjie Wang 0007, Liang Pang, Jun Xu 0001, Tat-Seng Chua, Maarten de Rijke. 539-548 [doi]
• Fairness-Aware Classification over Incomplete DataXiaoye Miao, Lei Qiang, Guilin Huang, Yangyang Wu, Jianwei Yin. 549-558 [doi]
• Is Having Rationales Enough? Rethinking Knowledge Enhancement for Multimodal Hateful Meme DetectionJunyu Lu, Bo Xu 0009, Xiaokun Zhang 0001, Haohao Zhu, Kaichun Wang, Liang Yang 0003, Hongfei Lin. 559-569 [doi]
• Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation ApproachHanzhe Li 0001, Dazhong Shen, Chao Wang 0086, Yuting Liu 0001, Jingjing Gu. 570-580 [doi]
• Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate PredictionXiaoxi Cui, Weihai Lu, Yu Tong, Yiheng Li, Zhejun Zhao. 581-591 [doi]
• A Pattern-Driven Information Diffusion Prediction Model Based on Multisource Resonance and Cognitive AdaptationWeikang He, Yunpeng Xiao, Mengyang Huang, Xuemei Mou, Rong Wang, Qian Li 0009. 592-601 [doi]
• Information Retrieval in the Age of Generative AI: The RGB ModelMichele Garetto, Alessandro Cornacchia, Franco Galante, Emilio Leonardi, Alessandro Nordio, Alberto Tarable. 602-612 [doi]
• Towards Brain Passage Retrieval: An Investigation of EEG Query RepresentationsNiall McGuire, Yashar Moshfeghi. 613-623 [doi]
• Designing Search Engine Result Pages for Immersive Virtual Reality: Insights from Eye-Tracking and User Perception DataAustin R. Ward, Bogeum Choi, Robert Capra. 624-633 [doi]
• How Users Interact with Generative Information Retrieval Systems: A Study of User Behavior and Search ExperienceYidong Liang, Zhijing Wu 0001, Fan Zhang 0053, Dandan Song, Heyan Huang. 634-644 [doi]
• Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy PlanningTao He, Lizi Liao, Ming Liu 0004, Bing Qin 0001. 645-655 [doi]
• PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel OptimizationYang Jiao, Xiaodong Wang, Kai Yang. 656-667 [doi]
• Reverse-Engineering the Retrieval Process in GenIR ModelsAnja Reusch, Yonatan Belinkov. 668-677 [doi]
• CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMsYuntong Hu, Zhihan Lei, Zhongjie Dai, Allen Zhang 0005, Abhinav Angirekula, Zheng Zhang 0047, Liang Zhao 0002. 678-687 [doi]
• Heterogeneous Graph Embedding Made More PracticalFangfang Li, HuiHui Zhang, Wei Li, Wei Wu. 688-697 [doi]
• Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed GraphsTaiyan Zhang, Renchi Yang, Yurui Lai, Mingyu Yan, Xiaochun Ye, Dongrui Fan. 698-708 [doi]
• Enhancing Homophily in Heterogeneous Graph Contrastive Learning via Connection Strength and Multi-view Self-ExpressionHaosen Wang, Chenglong Shi, Can Xu, Surong Yan, Rong Xie, Pan Tang. 709-718 [doi]
• InfoNCE is a Free Lunch for Semantically guided Graph Contrastive LearningZixu Wang, Bingbing Xu 0001, Yige Yuan, Huawei Shen, Xueqi Cheng. 719-728 [doi]
• Generative Recommender with End-to-End Learnable Item TokenizationEnze Liu 0005, Bowen Zheng 0005, Cheng Ling, Lantao Hu, Han Li 0005, Wayne Xin Zhao. 729-739 [doi]
• Dynamic Time-aware Continual User Representation LearningSeungYoon Choi, Sein Kim, Hongseok Kang, Wonjoong Kim, Chanyoung Park 0001. 740-749 [doi]
• MINTT: Memory Inductive Transfer for Temporal Graph Neural NetworksTanishq Dubey, Sidharth Agarwal, Shubham Gupta, Srikanta Bedathur. 750-760 [doi]
• A Generalised and Adaptable Reinforcement Learning Stopping MethodReem Bin Hezam, Mark Stevenson 0001. 761-770 [doi]
• SAFT: Structure-aware Transformers for Textual Interaction ClassificationHongtao Wang, Renchi Yang, Hewen Wang, Haoran Zheng, Jianliang Xu. 771-781 [doi]
• HCDS: Hierarchical Clustering for Cold-Start Few-Shot Data SelectionYuhua Zhao, Zhixin Han, Xunzhi Wang, Bitong Luo, Hang Gao 0003, Minlie Huang, Mengting Hu. 782-791 [doi]
• Beyond General Alignment: Fine-Grained Entity-Centric Image-Text Matching with Multimodal Attentive ExpertsYaxiong Wang, Lianwei Wu, Lechao Cheng, Zhun Zhong, Yujiao Wu, Meng Wang 0001. 792-802 [doi]
• FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image RetrievalBohan Hou, Haoqiang Lin, Xuemeng Song, Haokun Wen, Meng Liu 0006, Yupeng Hu, Xiangyu Zhao. 803-812 [doi]
• Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken GenerationYongqi Li 0001, Hongru Cai, Wenjie Wang 0007, Leigang Qu, Yinwei Wei, Wenjie Li 0002, Liqiang Nie, Tat-Seng Chua. 813-822 [doi]
• Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image RetrievalZijun Long, Kangheng Liang, Gerardo Aragon-Camarasa, Richard McCreadie, Paul Henderson. 823-832 [doi]
• Rethinking Pseudo Word Learning in Zero-Shot Composed Image Retrieval: From an Object-Aware PerspectiveZhe Li 0028, Lei Zhang 0119, Kun Zhang 0040, Weidong Chen 0013, Yongdong Zhang 0001, Zhendong Mao 0001. 833-843 [doi]
• Class Activation Values: Lucid and Faithful Visual Interpretations for CLIP-based Text-Image RetrievalsPengxu Chen, Huazhong Liu, Jihong Ding, Xinghao Huang, Shaojun Zou, Laurence Tianruo Yang. 844-853 [doi]
• Two-Stage Adversarial Training for Deep Hashing via Representation DistillationFei Zhu, Huashan Chen, Wanqian Zhang, Lin Wang, Zheng Lin 0001, Bo Li 0063. 854-863 [doi]
• Unified Category and Style Generalization for Instance-Level Sketch RetrievalZechao Hu 0003, Zhengwei Yang, Hao Li, Yixiong Zou, Fengbin Zhu, Zheng Wang 0007. 864-873 [doi]
• Queries Are Not Alone: Clustering Text Embeddings for Video SearchPeiyang Liu, Xi Wang, Ziqiang Cui, Wei Ye. 874-883 [doi]
• Question-Answering Dense Video EventsHangyu Qin, Junbin Xiao, Angela Yao. 884-894 [doi]
• AV-NAS: Audio-Visual Multi-Level Semantic Neural Architecture Search for Video HashingYong Chen 0008, Yuxiang Zhou, Hailiang Dong, Rui Liu 0007, Zhouchen Lin, Dell Zhang. 895-905 [doi]
• Understanding the Effect of Opinion Polarization in Short Video BrowsingBangde Du, Ziyi Ye, Zhijing Wu 0001, Monika Jankowska, Qingyao Ai, Yiqun Liu 0001. 906-916 [doi]
• Gaming for Boundary: Elastic Localization for Frame-Supervised Video Moment RetrievalHao Liu, Yupeng Hu, Kun Wang, Yinwei Wei, Liqiang Nie. 917-926 [doi]
• ARC: Approximate Relevant Clip Query in Large-Scale Video RepositoriesYue Chen, Yinan Jing, Ziqiang Yu, Xiaohui Yu, Zhenying He, Kai Zhang 0006, X. Sean Wang. 927-936 [doi]
• Unconstrained Monotonic Calibration of Predictions in Deep Ranking SystemsYimeng Bai, Shunyu Zhang, Yang Zhang 0072, Hu Liu, Wentian Bao, Enyun Yu, Fuli Feng, Wenwu Ou. 937-947 [doi]
• Techie: Tackling Video Prefetching at Edge Networks as POMDP Via an Intrinsically Motivated RL AgentNawras Alkassab, Chin-Tser Huang, Tania Lorido-Botran. 948-957 [doi]
• DePro: Domain Ensemble using Decoupled Prompts for Universal Cross-Domain RetrievalKaixiang Chen, Pengfei Fang, Hui Xue 0002. 958-967 [doi]
• Meta-Guided Adaptive Weight Learner for Noisy CorrespondenceChenyu Mu, Erkun Yang, Cheng Deng. 968-978 [doi]
• Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal RecommendationWenze Ma, Chenyu Sun, Yanmin Zhu 0006, Zhaobo Wang, Xuhao Zhao, Mengyuan Jing, Jiadi Yu, Feilong Tang. 979-988 [doi]
• Boosting Discriminability for Robust Multimodal Entity Linking with Visual Modality MissingMingrui Lao, Zheng Li, Yanming Guo, Xueyi Zhang, Siqi Cai 0002, Zhaoyun Ding, Haizhou Li 0001. 989-999 [doi]
• Seeing Beyond Hallucinations: LLM-based Compositional Information Extraction for Multimodal ReasoningXinwei Li, Li Lin 0011, Shuai Wang 0032, Hanqian Wu. 1000-1010 [doi]
• Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware RoutingZecheng Zhao, Zhi Chen 0010, Zi Huang, Shazia Sadiq, Tong Chen 0005. 1011-1021 [doi]
• CLIP-AdaM: Adapting Multi-view CLIP for Open-set 3D Object RetrievalXinwei He 0001, Liang Ma, Yuxuan Cheng, Zhichuan Wang, Yulong Wang 0002, Yang Zhou, Xiang Bai. 1022-1032 [doi]
• Multi-level Encoding with Hierarchical Alignment for Sketch-Based 3D Shape RetrievalDonglin Zhang, Changxing Li, Xiao-jun Wu. 1033-1043 [doi]
• Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive TestingHaiping Ma, Weiyuan Zhou, Xiaoshan Yu 0002, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang 0001. 1044-1054 [doi]
• Ask and Retrieve Knowledge: Towards Proactive Asking with Imperfect Information in Medical Multi-turn DialoguesBolin Zhang, Shengwei Wang, Yangqin Jiang, Dianbo Sui, Zhiying Tu, Dianhui Chu. 1055-1065 [doi]
• General Neural Embedding for Sequence Distance ApproximationZhihao Chang, Ding Wang, Xiu Tang, Kingsum Chow, Jianwei Yin. 1066-1075 [doi]
• ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language ModelsChao Wang, Hehe Fan, Ruijie Quan, Lina Yao, Yi Yang. 1076-1086 [doi]
• Combining Evidence and Reasoning for Biomedical Fact-CheckingMariano Barone, Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato. 1087-1097 [doi]
• LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information SeekingRuiyang Ren, Yuhao Wang 0007, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wenjie Wang, Tat-Seng Chua. 1098-1108 [doi]
• OBELLA: Open the Book for Evaluating Long-Form Large Language Model Answers in Open-Domain Question AnsweringTianyu Ren, Zhaoyu Zhang, Hui Wang 0001, Karen Rafferty. 1109-1119 [doi]
• Question-Answer Extraction from Scientific Articles Using Knowledge Graphs and Large Language ModelsHosein Azarbonyad, Zi Long Zhu, Georgios Cheirmpos, Zubair Afzal, Vikrant Yadav, Georgios Tsatsaronis. 1120-1129 [doi]
• GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question AnsweringYaxian Wang, Bifan Wei, Jun Liu 0002, Lingling Zhang 0005, Shuting He, Jun Li, Qika Lin. 1130-1140 [doi]
• An Empirical Study of Evaluating Long-form Question AnsweringNing Xian, Yixing Fan, Ruqing Zhang 0001, Maarten de Rijke, Jiafeng Guo. 1141-1151 [doi]
• BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model AlignmentAndrey Sakhovskiy, Elena Tutubalina. 1152-1164 [doi]
• Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with TreesTiesunlong Shen, Rui Mao 0010, Jin Wang, Xuejie Zhang 0002, Erik Cambria. 1165-1175 [doi]
• Segmentation Similarity Enhanced Semantic Related Entity Fusion for Multi-modal Knowledge Graph CompletionYunpeng Wang, Bo Ning, Xin Wang, Chengfei Liu, Guanyu Li. 1176-1185 [doi]
• Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal PerspectiveTaoyu Su, Jiawei Sheng, Duohe Ma, Xiaodong Li, Juwei Yue, Mengxiao Song, Yingkai Tang, Tingwen Liu. 1186-1196 [doi]
• From Knowledge Forgetting to Accumulation: Evolutionary Relation Path Passing for Lifelong Knowledge Graph EmbeddingJing Yang, Xinfa Jiang, Xiaowen Jiang, Yuan Gao, Laurence T. Yang, Shaojun Zou, Shundong Yang. 1197-1206 [doi]
• AdaRPT: An Adaptive Rule Pattern Transfer Model for Fully Inductive Knowledge Graph ReasoningZhiwen Xie, Zhuo Zhao, Jinjin Ma, Guangyou Zhou, Jimmy Xiangji Huang. 1207-1217 [doi]
• HyperG: Hypergraph-Enhanced LLMs for Structured KnowledgeSirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu 0001. 1218-1228 [doi]
• Comprehending Knowledge Graphs with Large Language Models for Recommender SystemsZiqiang Cui, Yunpeng Weng, Xing Tang 0007, Fuyuan Lyu, Dugang Liu, Xiuqiang He 0001, Chen Ma 0001. 1229-1239 [doi]
• Parametric Retrieval Augmented GenerationWeihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou 0002, Yiqun Liu 0001. 1240-1250 [doi]
• ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process RewardingZhongxiang Sun, Qipeng Wang, Weijie Yu 0003, Xiaoxue Zang, Kai Zheng 0001, Jun Xu 0001, Xiao Zhang 0034, Yang Song 0008, Han Li 0005. 1251-1261 [doi]
• Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented GenerationYuhao Wang 0007, Ruiyang Ren, Yucheng Wang, Wayne Xin Zhao, Jing Liu 0022, Hua Wu 0003, Haifeng Wang 0001. 1262-1271 [doi]
• Robust Fine-tuning for Retrieval Augmented Generation against Retrieval DefectsYiteng Tu, Weihang Su, Yujia Zhou 0002, Yiqun Liu 0001, Qingyao Ai. 1272-1282 [doi]
• Predicting RAG Performance for Text CompletionOz Huly, David Carmel, Oren Kurland. 1283-1293 [doi]
• Retrieval Augmented Generation with Collaborative Filtering for Personalized Text GenerationTeng Shi, Jun Xu, Xiao Zhang 0034, Xiaoxue Zang, Kai Zheng 0001, Yang Song 0008, Han Li 0005. 1294-1304 [doi]
• Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-PracticingDiji Yang, Linda Zeng, Jinmeng Rao, Yi Zhang 0001. 1305-1315 [doi]
• CIRAG: Retrieval-Augmented Language Model with Collective IntelligenceChenxu Cui, Haihui Fan, Jinchao Zhang, Lin Shen, Bo Li, Weiping Wang. 1316-1326 [doi]
• Lightweight and Direct Document Relevance Optimization for Generative Information RetrievalKidist Amde Mekonnen, Yubao Tang, Maarten de Rijke. 1327-1338 [doi]
• Exploring Training and Inference Scaling Laws in Generative RetrievalHongru Cai, Yongqi Li, Ruifeng Yuan, Wenjie Wang, Zhen Zhang, Wenjie Li, Tat-Seng Chua. 1339-1349 [doi]
• Incorporating Communication Style and Interaction of Speakers for Sarcasm Explanation in DialogueYuqing Li, Wenyuan Zhang 0002, Zheng Lin, Guoxuan Ding, Weiping Wang. 1350-1359 [doi]
• LUSIFER: Language Universal Space Integration for Enhanced Representation in Multilingual Text Embedding ModelsHieu Man, Nghia Trung Ngo, Viet Dac Lai, Ryan A. Rossi, Franck Dernoncourt, Thien Huu Nguyen. 1360-1370 [doi]
• Generative Meta-Learning for Zero-Shot Relation Triplet ExtractionWanli Li 0002, Tieyun Qian, Yi Song, Zeyu Zhang, Jiawei Li, Zhuang Chen 0002, Lixin Zou. 1371-1381 [doi]
• Reasoning and Retrieval for Complex Semi-structured Tables via Reinforced Relational Data TransformationHaoyu Dong 0001, Yue Hu 0002, Yanan Cao 0001. 1382-1391 [doi]
• Optimizing Tail-Head Trade-off for Extreme Multi-Label Text Classification (XMTC) with RAG-Labels and a Dynamic Two-Stage Retrieval and Fusion PipelineCelso França, Gestefane Rabbi, Thiago Salles, Washington Cunha, Leonardo Rocha 0001, Marcos André Gonçalves. 1392-1401 [doi]
• CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward PassBowen Zhang, Zixin Song, Chunping Li. 1402-1412 [doi]
• InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task PlanningZheng Wang, Shu Xian Teo, Jun Jie Chew, Wei Shi. 1413-1422 [doi]
• A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document SummarizationShiyin Tan, JaeEon Park, Dongyuan Li, Renhe Jiang, Manabu Okumura. 1423-1433 [doi]
• Retrieval Augmented Generation for Dynamic Graph ModelingYuxia Wu, Lizi Liao, Yuan Fang 0001. 1434-1443 [doi]
• Empowering Large Language Model Agent through Step-Level Self-Critique and Self-TrainingYuanzhao Zhai, Huanxi Liu, Zhuo Zhang, Tong Lin, Kele Xu, Cheng Yang, Dawei Feng, Bo Ding, Huaimin Wang. 1444-1454 [doi]
• Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language ModelsYuhao Wang, Junwei Pan, Pengyue Jia, Wanyu Wang, Maolin Wang, Zhixiang Feng, Xiaotian Li, Jie Jiang, Xiangyu Zhao. 1455-1465 [doi]
• Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential RecommendationYizhou Dang, Yuting Liu 0003, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang 0001. 1466-1475 [doi]
• Unleashing the Potential of Diffusion Models Towards Diversified Sequential RecommendationsZhuo Cai 0003, Shoujin Wang, Victor W. Chu, Usman Naseem, Yang Wang 0002, Fang Chen 0001. 1476-1486 [doi]
• Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence RecommendationFei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo, Jianzhe Zhao, Xingwei Wang 0001. 1487-1496 [doi]
• X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential RecommendationGuy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach. 1497-1507 [doi]
• Improving Sequential Recommenders through Counterfactual Augmentation of System ExposureZiqi Zhao, Zhaochun Ren, Jiyuan Yang, Zuming Yan, Zihan Wang, Liu Yang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Xin Xin 0003. 1508-1518 [doi]
• Triplet Contrastive Learning with Learnable Sequence Augmentation for Sequential RecommendationWei Wang 0375, Yujie Lin, Moyan Zhang, Hongyu Lu, Jianli Zhao, Jie Sun, Xianye Ben, Pengjie Ren, Yujun Li. 1519-1529 [doi]
• STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential RecommendationMaolin Wang 0001, Sheng Zhang 0028, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu 0001, Hongzhi Yin, Yi Chang 0001, Xiangyu Zhao 0001. 1530-1540 [doi]
• Towards Interest Drift-driven User Representation Learning in Sequential RecommendationXiaolin Lin, Weike Pan, Zhong Ming 0001. 1541-1551 [doi]
• Intent-aware Diffusion with Contrastive Learning for Sequential RecommendationYuanpeng Qu, Hajime Nobuhara. 1552-1561 [doi]
• CSRec: Rethinking Sequential Recommendation from A Causal PerspectiveXiaoyu Liu 0003, Jiaxin Yuan, Yuhang Zhou, Jingling Li, Furong Huang, Wei Ai 0002. 1562-1571 [doi]
• Multi-Grained Patch Training for Efficient LLM-based RecommendationJiayi Liao, Ruobing Xie, Sihang Li 0002, Xiang Wang 0010, Xingwu Sun, Zhanhui Kang, Xiangnan He 0001. 1572-1581 [doi]
• Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential RecommendationQidong Liu 0002, Xiangyu Zhao 0001, Yejing Wang, Zijian Zhang 0009, Howard Zhong, Chong Chen 0001, Xiang Li, Wei Huang, Feng Tian 0002. 1582-1592 [doi]
• Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature DenoisingXiaoxi Cui, Weihai Lu, Yu Tong, Yiheng Li, Zhejun Zhao. 1593-1602 [doi]
• Mitigating Distribution Shifts in Sequential Recommendation: An Invariance PerspectiveYuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu. 1603-1613 [doi]
• AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language EmbeddingsGuoqing Hu, An Zhang 0003, Shuo Liu, Zhibo Cai, Xun Yang 0001, Xiang Wang 0010. 1614-1623 [doi]
• DIFF: Dual Side-Information Filtering and Fusion for Sequential RecommendationHye-Young Kim, Minjin Choi 0001, Sunkyung Lee 0001, Ilwoong Baek, Jongwuk Lee. 1624-1633 [doi]
• Diversity-aware Dual-promotion Poisoning Attack on Sequential RecommendationYuchuan Zhao, Tong Chen 0005, Junliang Yu, Kai Zheng 0001, LiZhen Cui, Hongzhi Yin. 1634-1644 [doi]
• Adaptive User Dynamic Interest Guidance for Generative Sequential RecommendationKai Zhu 0009, Jing Li, Jia Wu 0001, Yue He, Jun Chang, Guohao Li, Shuyi Zhang. 1645-1654 [doi]
• Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based RecommendationJinpeng Chen, Jianxiang He, Huan Li 0003, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji. 1655-1665 [doi]
• Linear Item-Item Models with Neural Knowledge for Session-based RecommendationMinjin Choi 0001, Sunkyung Lee 0001, Seongmin Park 0002, Jongwuk Lee. 1666-1675 [doi]
• Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback LoopYuqi Zhou 0001, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu 0001, Ji-Rong Wen. 1676-1686 [doi]
• FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving RecommendationMingzhe Han, Dongsheng Li 0002, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu. 1687-1696 [doi]
• Review-driven Personalized Preference Reasoning with Large Language Models for RecommendationJieyong Kim, Hyunseo Kim 0002, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee 0003. 1697-1706 [doi]
• Enhancing New-item Fairness in Dynamic Recommender SystemsHuizhong Guo, Zhu Sun 0001, Dongxia Wang 0002, Tianjun Wei, Jinfeng Li, Jie Zhang 0002. 1707-1716 [doi]
• Fair Recommendation with Biased-Limited Sensitive AttributeJizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen 0033, Yang Zhang, Fuli Feng. 1717-1727 [doi]
• Social Relation-Level Privacy Risks and Preservation in Social Recommender SystemsXuhao Zhao, Zhongrui Zhang, Yanmin Zhu, Zhaobo Wang, Wenze Ma, Jiadi Yu, Feilong Tang. 1728-1737 [doi]
• NR4DER: Neural Re-ranking for Diversified Exercise RecommendationXinghe Cheng, Xufang Zhou, Liangda Fang, Chaobo He, Yuyu Zhou, Weiqi Luo 0002, Zhiguo Gong, Quanlong Guan. 1738-1747 [doi]
• FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service RecommendationGuoquan Wang, Qiang Luo, Weisong Hu, Pengfei Yao, Wencong Zeng, Guorui Zhou, Kun Gai. 1748-1757 [doi]
• Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language ModelYu Xia, Rui Zhong, Hao Gu, Wei Yang, Chi Lu, Peng Jiang, Kun Gai. 1758-1767 [doi]
• CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and LanguageLin Zhong, Lingzhi Wang, Xu Yang, Qing Liao 0001. 1768-1778 [doi]
• Disentangled Graph Debiasing for Next POI RecommendationHailun Zhou, Jiajie Xu 0001, Qiaoming Zhu, Chengfei Liu. 1779-1788 [doi]
• CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain RecommendationHanyu Li, Jiayu Li 0001, Weizhi Ma, Peijie Sun, Haiyang Wu, Jingwen Wang, Yuekui Yang, Min Zhang 0006, Shaoping Ma. 1789-1798 [doi]
• Enhancing Cross-Domain Recommendation with Plug-In Contrastive Representations from Large Language ModelsKe Wang, Ji Zhang, Kuan Liu. 1799-1809 [doi]
• You Are What You Bought: Generating Customer Personas for E-commerce ApplicationsYimin Shi 0001, Yang Fei, ShiQi Zhang, Haixun Wang, Xiaokui Xiao. 1810-1819 [doi]
• Disentangling and Generating Modalities for Recommendation in Missing Modality ScenariosJiwan Kim, Hongseok Kang, Sein Kim, Kibum Kim, Chanyoung Park 0001. 1820-1829 [doi]
• COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal RecommendationJinfeng Xu 0003, Zheyu Chen 0003, Wei Wang 0077, Xiping Hu 0001, Sang-Wook Kim, Edith C. H. Ngai. 1830-1839 [doi]
• CDC: Causal Domain Clustering for Multi-Domain RecommendationHuishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang. 1840-1849 [doi]
• MELON: Learning Multi-Aspect Modality Preferences for Accurate Multimedia RecommendationDongHo Jeong, Taeri Kim, Donghyeon Cho, Sang-Wook Kim. 1850-1859 [doi]
• Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph CoordinatorsHengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong 0001, Chengzhi Piao, Hong Cheng 0001, Lingling Yi. 1860-1869 [doi]
• Intent Representation Learning with Large Language Model for RecommendationYu Wang, Lei Sang 0001, Yi Zhang 0103, Yiwen Zhang 0001. 1870-1879 [doi]
• Short Video Segment-level User Dynamic Interests Modeling in Personalized RecommendationZhiyu He, Zhixin Ling, Jiayu Li 0001, Zhiqiang Guo, Weizhi Ma, Xinchen Luo, Min Zhang, Guorui Zhou. 1880-1890 [doi]
• Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative DecodingYunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang 0001, Yong Yu 0001. 1891-1901 [doi]
• ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender SystemsZongwei Wang 0002, Min Gao 0001, Junliang Yu, Xinyi Gao 0001, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin. 1902-1911 [doi]
• MSL: Not All Tokens Are What You Need for Tuning LLM as a RecommenderBohao Wang, Feng Liu, Jiawei Chen 0007, Xingyu Lou, Changwang Zhang, Jun Wang 0020, Yuegang Sun, Yan Feng, Chun Chen 0001, Can Wang 0001. 1912-1922 [doi]
• Order-agnostic Identifier for Large Language Model-based Generative RecommendationXinyu Lin 0001, Haihan Shi, Wenjie Wang 0007, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua. 1923-1933 [doi]
• Process-Supervised LLM Recommenders via Flow-guided TuningChongming Gao, Mengyao Gao, Chenxiao Fan, Shuai Yuan, Wentao Shi 0002, Xiangnan He 0001. 1934-1943 [doi]
• Large Language Models Enhanced Hyperbolic Space Recommender SystemsWentao Cheng, Zhida Qin, Zexue Wu, Pengzhan Zhou, Tianyu Huang. 1944-1953 [doi]
• Modeling Social Behavior in Collaborative FilteringYihong Zhang 0001, Takahiro Hara. 1954-1963 [doi]
• Graph Spectral Filtering with Chebyshev Interpolation for RecommendationChanwoo Kim, Jinkyu Sung, Yebonn Han, Joonseok Lee. 1964-1974 [doi]
• Collaborative Diffusion Models for RecommendationMengru Chen, Lianghao Xia, Yong Xu 0007, Ronghua Luo. 1975-1984 [doi]
• Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative FilteringYu Zhang, Yiwen Zhang, Yi Zhang, Lei Sang 0001, Yun Yang 0001. 1985-1994 [doi]
• Social Context-Aware Community-Level Propagation PredictionJinfei Gao, Xiao Wang, Tian Gan, Jianhua Yin, Chuanchen Luo, Liqiang Nie. 1995-2005 [doi]
• Towards Distribution Matching between Collaborative and Language Spaces for Generative RecommendationYi Zhang 0103, Yiwen Zhang 0001, Yu Wang, Tong Chen 0005, Hongzhi Yin. 2006-2016 [doi]
• Hypercomplex Knowledge Graph-Aware RecommendationAnchen Li, Bo Yang 0002, Huan Huo, Farookh Hussain, Guandong Xu 0001. 2017-2026 [doi]
• Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive LearningLeqi Zheng, Chaokun Wang, Ziyang Liu 0004, Canzhi Chen, Cheng Wu, Hongwei Li. 2027-2037 [doi]
• Invariance Matters: Empowering Social Recommendation via Graph Invariant LearningYonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang. 2038-2047 [doi]
• CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language ModelsJunze Chen, Xinjie Yang, Cheng Yang, Junfei Bao, Zeyuan Guo, Yawen Li 0001, Chuan Shi 0001. 2048-2058 [doi]
• Bridging Short Videos and Streamers with Multi-Graph Contrastive Learning for Live Streaming RecommendationChangle Qu, Liqin Zhao, Yanan Niu, Xiao Zhang 0034, Jun Xu 0001. 2059-2069 [doi]
• Rating-Aware Homogeneous Review Graphs and User Likes/Dislikes Differentiation for Effective RecommendationsJiwon Son, Hyunjoon Kim, Sang-Wook Kim. 2070-2080 [doi]
• VoRec: Enhancing Recommendation with Voronoi Diagram in Hyperbolic SpaceYong Chen, Li Li, Wei Peng 0009, Songzhi Su. 2081-2091 [doi]
• Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender SystemsHyunsik Yoo, SeongKu Kang, Ruizhong Qiu, Charlie Xu, Fei Wang 0065, Hanghang Tong. 2092-2101 [doi]
• Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item EmbeddingsAleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto. 2102-2111 [doi]
• Pre-training for Recommendation UnlearningGuoxuan Chen, Lianghao Xia, Chao Huang 0001. 2112-2121 [doi]
• CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based RetrievalHao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen 0002, Yu Zhang, Xiaoyi Zeng, Jing Zhang. 2122-2131 [doi]
• Multi-scenario Instance Embedding Learning for Deep Recommender SystemsChaohua Yang, Dugang Liu, Xing Tang 0007, Yuwen Fu, Xiuqiang He 0001, Xiangyu Zhao 0001, Zhong Ming 0001. 2132-2141 [doi]
• Why is Normalization Necessary for Linear Recommenders?Seongmin Park 0002, Mincheol Yoon, Hye-Young Kim, Jongwuk Lee. 2142-2151 [doi]
• Addressing Missing Data Issue for Diffusion-based RecommendationWenyu Mao, Zhengyi Yang 0007, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He 0001. 2152-2161 [doi]
• Hyperbolic Multi-Criteria Rating RecommendationZhihao Guo, Ting Han, Peng Song 0004, Chenjiao Feng, Kaixuan Yao, Jiye Liang. 2162-2171 [doi]
• MGIPF: Multi-Granularity Interest Prediction Framework for Personalized RecommendationRuoxuan Feng, Zhen Tian 0001, Qiushi Peng, Jiaxin Mao, Wayne Xin Zhao, Di Hu 0001, Changwang Zhang. 2172-2181 [doi]
• A Learnable Fully Interacted Two-Tower Model for Pre-Ranking SystemChao Xiong, Xianwen Yu, Wei Xu, Lei Cheng 0005, Chuan Yuan, Linjian Mo. 2182-2191 [doi]
• DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic RewardYi Zhang 0105, Ruihong Qiu, Xuwei Xu, Jiajun Liu, Sen Wang 0001. 2192-2202 [doi]
• DAR: Dimension-Adaptive Recommendation with Multi-Granular Noise ControlRiwei Lai, Li Chen 0009, Rui Chen 0012, Chi Zhang 0060. 2203-2212 [doi]
• DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR PredictionKefan Wang, Hao Wang 0076, Wei Guo 0006, Yong Liu 0020, Jianghao Lin, Defu Lian, Enhong Chen. 2213-2223 [doi]
• Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation ModelLuankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo 0006, Hao Wang 0076, Yawen Li 0001, Huifeng Guo, Yong Liu 0020, Defu Lian, Enhong Chen. 2224-2234 [doi]
• Agentic Feedback Loop Modeling Improves Recommendation and User SimulationShihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He 0001. 2235-2244 [doi]
• Learning to Rank with Variable Result Presentation LengthsNorman Knyazev, Harrie Oosterhuis. 2245-2254 [doi]
• QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-RankingShubham Chatterjee, Jeff Dalton 0001. 2255-2265 [doi]
• Distributionally Robust Optimization for Unbiased Learning to RankZechun Niu, Lang Mei, Chong Chen 0001, Jiaxin Mao. 2266-2275 [doi]
• Zero-Shot Reranking with Large Language Models and Precomputed Ranking Features: Opportunities and LimitationsMaria Movin, Claudia Hauff. 2276-2286 [doi]
• Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval SetsMandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand. 2287-2297 [doi]
• Comprehensive List Generation for Multi-Generator RerankingHailan Yang, Zhenyu Qi, Shuchang Liu 0006, Xiaoyu Yang, Xiaobei Wang, Xiang Li, Lantao Hu, Han Li, Kun Gai. 2298-2308 [doi]
• Bridging Personalization and Control in Scientific Personalized SearchSheshera Mysore, Garima Dhanania, Kishor Patil, Surya Kallumadi, Andrew McCallum, Hamed Zamani. 2309-2319 [doi]
• Reason-to-Rank: Distilling Direct and Comparative Reasoning from Large Language Models for Document RerankingYuelyu Ji, Zhuochun Li, Rui Meng, Daqing He. 2320-2329 [doi]
• CoDIME: A Counterfactual Approach for Dimension Importance Estimation through Click LogsGuglielmo Faggioli, Nicola Ferro 0001, Raffaele Perego 0001, Nicola Tonellotto. 2330-2340 [doi]
• Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product SearchTingyang Chen, Cong Fu 0001, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng. 2341-2350 [doi]
• On the Scaling of Robustness and Effectiveness in Dense RetrievalYu-An Liu, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng. 2351-2360 [doi]
• Optimizing Compound Retrieval SystemsHarrie Oosterhuis, Rolf Jagerman, Zhen Qin 0001, Xuanhui Wang. 2361-2371 [doi]
• Hypencoder: Hypernetworks for Information RetrievalJulian Killingback, Hansi Zeng, Hamed Zamani. 2372-2383 [doi]
• Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context InformationKehan Long, Shasha Li 0001, Chen Xu, Jintao Tang, Ting Wang 0009. 2384-2394 [doi]
• Classifying Term Variants in Query FormulationNuha Abu Onq, Mark Sanderson, Falk Scholer. 2395-2406 [doi]
• Towards Lossless Token Pruning in Late-Interaction Retrieval ModelsYuxuan Zong, Benjamin Piwowarski. 2407-2417 [doi]
• Locality-Sensitive Indexing for Graph-Based Approximate Nearest Neighbor SearchJun Woo Chung, Huawei Lin 0001, Weijie Zhao 0001. 2418-2428 [doi]
• Constrained Auto-Regressive Decoding Constrains Generative RetrievalShiguang Wu 0003, Zhaochun Ren, Xin Xin 0003, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren. 2429-2440 [doi]
• Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training ApproachYubao Tang, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng. 2441-2451 [doi]
• Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense RetrievalYongkang Li 0002, Panagiotis Eustratiadis, Simon Lupart, Evangelos Kanoulas. 2452-2462 [doi]
• Hybrid Advertising in the Sponsored SearchZhen Zhang, Weian Li, Yuhan Wang, Qi Qi 0003, Kun Huang. 2463-2472 [doi]
• UPPR+: Scaling Uncertain Personalised PageRank Computation on Billion-Sized Graphs with Mutually Exclusive EdgesMin Zhang, Weiren Yu. 2473-2482 [doi]
• WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web BrowsersMugeng Liu, Siqi Zhong, Qi Yang, Yudong Han, Xuanzhe Liu, Yun Ma 0002. 2483-2492 [doi]
• TITE: Token-Independent Text Encoder for Information RetrievalFerdinand Schlatt, Tim Hagen, Martin Potthast, Matthias Hagen. 2493-2503 [doi]
• WARP: An Efficient Engine for Multi-Vector RetrievalJan Luca Scheerer, Matei Zaharia, Christopher Potts, Gustavo Alonso, Omar Khattab. 2504-2512 [doi]
• Highly Efficient Disk-based Nearest Neighbor Search on Extended Neighborhood GraphCheng Zhang, Jianzhi Wang, Wan-Lei Zhao, Shihai Xiao. 2513-2523 [doi]
• IGP: Efficient Multi-Vector Retrieval via Proximity Graph IndexZheng Bian, Man Lung Yiu, Bo Tang 0016. 2524-2533 [doi]
• Efficient Re-ranking with Cross-encoders via Early ExitFrancesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando 0001, Raffaele Perego 0001, Salvatore Trani, Alberto Veneri. 2534-2544 [doi]
• Limitations of Automatic Relevance Assessments with Large Language Models for Fair and Reliable Retrieval EvaluationDavid Otero 0001, Javier Parapar, Álvaro Barreiro. 2545-2549 [doi]
• HTGformer: Heterogeneous Temporal Graph TransformerYili Wang 0005. 2550-2554 [doi]
• Unbiased Collaborative Filtering with Fair SamplingJiahao Liu, Dongsheng Li 0002, Hansu Gu, Peng Zhang 0060, Tun Lu, Li Shang, Ning Gu. 2555-2559 [doi]
• Improving LLM-powered Recommendations with Personalized InformationJiahao Liu, Xueshuo Yan, Dongsheng Li 0002, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu. 2560-2565 [doi]
• AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain RecommendationsJiahao Liu, Shengkang Gu, Dongsheng Li 0002, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu. 2566-2571 [doi]
• 0 Sparsification for Inference-free Sparse RetrieversXinjie Shen, Zhichao Geng, Yang Yang. 2572-2576 [doi]
• Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace RecommendationsGuilherme Ramos, Ludovico Boratto, Mirko Marras. 2577-2581 [doi]
• Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1MDario Di Palma, Felice Antonio Merra, Maurizio Sfilio, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia. 2582-2586 [doi]
• NAM: A Normalization Attention Model for Personalized Product Search In FliggyShui Liu, Mingyuan Tao, Maofei Que, Pan Li, Dong Li, Shenghua Ni, Zhuoran Zhuang. 2587-2591 [doi]
• Interest Changes: Considering User Interest Life Cycle in Recommendation SystemYinjiang Cai, Jiangpan Hou, Yangping Zhu, Yuan Nie. 2592-2596 [doi]
• Counterfactual Model Selection in Contextual BanditsShion Ishikawa, Young-joo Chung, Yun-Ching Liu, Yu Hirate. 2597-2601 [doi]
• Characterising Topic Familiarity and Query Specificity Using Eye-Tracking DataJiaman He, Zikang Leng, Dana McKay, Johanne R. Trippas, Damiano Spina. 2602-2606 [doi]
• Improving Link Sign Prediction in Signed Bipartite Graphs via Balanced Line GraphsHongxiang Lin, Yixiao Zhou, Huiying Hu, Xiaoqing Lyu. 2607-2611 [doi]
• Multi-Interest Matching for Personalized News Recommendation with Large Language ModelsHongxiang Lin, Yixiao Zhou, Huiying Hu, Xiaoqing Lyu. 2612-2616 [doi]
• Score-Fitted Indexes and Constant Length Indexes for Information RetrievalDjoerd Hiemstra. 2617-2621 [doi]
• Evaluating Multi-Dimensional Cumulated Utility in Information RetrievalFrancesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro 0001, Kalervo Järvelin. 2622-2626 [doi]
• Generating Effective Health-Related Queries for Promoting Reliable Search ResultsXiana Carrera, Marcos Fernández-Pichel, David E. Losada. 2627-2631 [doi]
• RE-AdaptIR: Improving Information Retrieval through Reverse Engineered AdaptationWilliam Fleshman, Benjamin Van Durme. 2632-2636 [doi]
• Bias in Language Models: Interplay of Architecture and Data?Mozhgan Talebpour, Yunfei Long, Alba Garcia Seco de Herrera, Shoaib Jameel. 2637-2641 [doi]
• Dynamic Margin-based Contrastive Learning for Robust Negative Sampling in Information RetrievalTsai-Tsung Chen, Chuan-Ju Wang, Ming-Feng Tsai. 2642-2646 [doi]
• UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph KnowledgeYue Zhang, Yankai Chen 0001, Yingli Zhou, Yucan Guo, Xiaolin Han 0002, Chenhao Ma 0001. 2647-2651 [doi]
• EIoU-EMC: A Novel Loss for Domain-specific Nested Entity RecognitionJian Zhang, Tianqing Zhang, Qi Li, Hongwei Wang 0001. 2652-2657 [doi]
• Graph-Based Multimodal Contrastive Learning for Chart Question AnsweringYue Dai 0006, Soyeon Caren Han, Wei Liu 0006. 2658-2663 [doi]
• ELEC: Efficient Large Language Model-Empowered Click-Through Rate PredictionRui Dong, Wentao Ouyang, Xiangzheng Liu. 2664-2668 [doi]
• Exploring Human-Like Thinking in Search Simulations with Large Language ModelsErhan Zhang, Xingzhu Wang, Peiyuan Gong, Zixuan Yang, Jiaxin Mao. 2669-2673 [doi]
• Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse RetrievalArthur Satouf, Gabriel Ben Zenou, Benjamin Piwowarski, Habiboulaye Amadou Boubacar, Pablo Piantanida. 2674-2678 [doi]
• Scaling Sparse and Dense Retrieval in Decoder-Only LLMsHansi Zeng, Julian Killingback, Hamed Zamani. 2679-2684 [doi]
• Dual Debiasing in LLM-based RecommendationSijin Lu, Zhibo Man, Fangyuan Luo, Jun Wu. 2685-2689 [doi]
• PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System EvaluationChenglong Ma, Ziqi Xu 0001, Yongli Ren, Danula Hettiachchi, Jeffrey Chan. 2690-2694 [doi]
• Learning Resistant Binary Descriptors Against Noise for Efficient Image RetrievalQingqing Long, Haixin Wang 0003, Jinan Sun, Wei Xiang, Yijia Xiao, Yusheng Zhao, Xiao Luo 0001. 2695-2699 [doi]
• Graph-Augmented Retrieval with Memory-Driven Reasoning and Constraint-Aware Filtering for MultiHop QASiyuan Li, Yongping Du, Mingyang Li. 2700-2705 [doi]
• Template-Based Financial Report Generation in Agentic and Decomposed Information RetrievalYong-En Tian, Yu-Chien Tang, Kuang-Da Wang, An-Zi Yen, Wen-Chih Peng. 2706-2710 [doi]
• A Comparative Study of Large Language Models and Traditional Privacy Measures to Evaluate Query Obfuscation ApproachesFrancesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro 0001. 2711-2716 [doi]
• From Monolith to Mosaic: Uncovering Behavioral Differences for Choice Models in Recommender Systems SimulationsRobin Ungruh, Alejandro Bellogín, Maria Soledad Pera. 2717-2722 [doi]
• GINGER: Grounded Information Nugget-Based Generation of ResponsesWeronika Lajewska, Krisztian Balog. 2723-2727 [doi]
• Interactive Code Information Integrated Programming Knowledge TracingXueqiang Zeng, Guangcheng Fu, Haofei Chen, Qiyun Peng, Mingwen Wang 0001. 2728-2732 [doi]
• Retrieving Tables via Inter- and Intra-Content Contrastive Representation LearningJie Wu 0034, Mengshu Hou. 2733-2737 [doi]
• Investigating Task Arithmetic for Zero-Shot Information RetrievalMarco Braga, Pranav Kasela, Alessandro Raganato, Gabriella Pasi. 2738-2743 [doi]
• Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity PredictionWei Chen, Jiao Li, Jian Lang, Zhangtao Cheng, Yong Wang, Fan Zhou. 2744-2748 [doi]
• Efficient Conversational Search via Topical Locality in Dense RetrievalCristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego 0001, Guido Rocchietti, Cosimo Rulli. 2749-2753 [doi]
• SMMR: Sampling-Based MMR Reranking for Faster, More Diverse, and Balanced Recommendations and RetrievalKiryl Liakhnovich, Oleg Lashinin, Andrei Babkin, Michael Pechatov, Marina Ananyeva. 2754-2758 [doi]
• Assessing Support for the TREC 2024 RAG Track: A Large-Scale Comparative Study of LLM and Human EvaluationsNandan Thakur, Ronak Pradeep, Shivani Upadhyay, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin. 2759-2763 [doi]
• Large Models are Good Annotators for Zero-Shot LearningQingzhi He, Yizhen Jia, Wentong Li 0001, ShengCai Liao, Rong-Quan, Tong Cui, Jie Qin. 2764-2768 [doi]
• Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative FilteringZheyu Chen 0003, Jinfeng Xu 0003, Yutong Wei, Ziyue Peng. 2769-2773 [doi]
• Bias-Aware Curriculum Sampling For Fair RankingShirin Seyedsalehi, Hai-son Le, Morteza ZiHayat, Ebrahim Bagheri. 2774-2778 [doi]
• Automatic Document Editing for Improved RankingNiv Bardas, Tommy Mordo, Oren Kurland, Moshe Tennenholtz. 2779-2783 [doi]
• A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance JudgmentNegar Arabzadeh, Charles L. A. Clarke. 2784-2788 [doi]
• An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-DocAldo Porco, Dhruv Mehra, Igor Malioutov, Karthik Radhakrishnan, Moniba Keymanesh, Daniel Preotiuc-Pietro, Sean MacAvaney, Pengxiang Cheng 0001. 2789-2793 [doi]
• VAP3: Variation-Aware Prompt Performance PredictionNegar Arabzadeh, Ebrahim Bagheri. 2794-2799 [doi]
• Translative Neural Team Recommendation: From Multilabel Classification to Sequence PredictionKap Thang, Hawre Hosseini, Hossein Fani 0001. 2800-2806 [doi]
• Fact-Level Calibration and Correction for Long-Form GenerationsYige Yuan, Bingbing Xu 0001, Hexiang Tan, Fei Sun 0001, Teng Xiao, Wei Li 0176, Huawei Shen, Xueqi Cheng. 2807-2811 [doi]
• System Comparison Using Automated Generation of Relevance Judgements in Multiple LanguagesPaul Thomas, Douglas W. Oard, Eugene Yang, Dawn J. Lawrie, James Mayfield. 2812-2816 [doi]
• Dual-perspective Data Augmentation and Curriculum Learning Framework for Low-resource Complex Named Entity RecognitionMengxiao Song, Tianyun Liu, Wenyuan Zhang, Quangang Li, Tingwen Liu. 2817-2821 [doi]
• FROG: Effective Friend Recommendation in Online Games via Modality-aware User PreferencesQiwei Wang, Dandan Lin, Wenqing Lin, Ziming Wu. 2822-2826 [doi]
• Text Obsoleteness Detection using Large Language ModelsRishav Ranaut, Sriparna Saha 0001, Adam Jatowt, Manish Gupta 0001. 2827-2831 [doi]
• Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal FactualityNaihe Feng, Yi Sui 0001, Shiyi Hou, Jesse C. Cresswell, Ga Wu. 2832-2836 [doi]
• Conversational Argument Search Under Selective Exposure: Strategies for Balanced Perspective AccessKyusik Kim, Jeongwoo Ryu, Dongseok Heo, Hyungwoo Song, Changhoon Oh, Bongwon Suh. 2837-2842 [doi]
• LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR PredictionXin Song, Xiaochen Li, Jinxin Hu, Hong Wen, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang. 2843-2847 [doi]
• ReCDAP: Relation-based Conditional Diffusion with Attention Pooling for Few-Shot Knowledge Graph CompletionJeongho Kim, Chanyeong Heo, Jaehee Jung. 2848-2852 [doi]
• Multilingual Evaluation of Main Content Extractors for Web PagesAurélien Bournonville, Gaël Dias, Thomas Largillier, Emmanuel Marchand, Fabrice Maurel, Guillaume Pitel, François Rioult. 2853-2857 [doi]
• Large Language Model Relevance Assessors Agree With One Another More Than With Human AssessorsMaik Fröbe, Andrew Parry, Ferdinand Schlatt, Sean MacAvaney, Benno Stein 0001, Martin Potthast, Matthias Hagen. 2858-2863 [doi]
• Axiomatic Re-Ranking for Argument RetrievalMaximilian Heinrich, Marvin Vogel, Alexander Bondarenko 0001, Matthias Hagen, Benno Stein 0001. 2864-2869 [doi]
• GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential RecommendationJunzhe Jiang 0001, Kai Zhang 0038, Junfeng Kang, Yucong Luo, Min Gao. 2870-2874 [doi]
• Measuring Hypothesis Testing Errors in the Evaluation of Retrieval SystemsJack McKechnie, Graham McDonald, Craig Macdonald. 2875-2879 [doi]
• Hierarchical User Long-term Behavior Modeling for Click-Through Rate PredictionMao Pan, Xuanhua Yang, Nan Qiao 0011, Dongyue Wang, Feng Mei, Xiwei Zhao, Sulong Xu. 2880-2884 [doi]
• Training-free Periodic Interest Augmentation in Incremental RecommendationHeyuan Huang, Xingyu Lou, Changwang Zhang, Chaochao Chen 0001, Kuiyao Dong, Feng Lu, Han Lei, Yihao Wang, Wangchunshu Zhou, Jun Wang. 2885-2889 [doi]
• In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated CodeSusmita Das, Madhusudan Ghosh, Priyanka Swami, Debasis Ganguly, Gul Calikli. 2890-2894 [doi]
• More Than Just A Conversation: A Multi-agent Reasoning Graph Knowledge Distillation for Conversational Stance DetectionBingbing Wang, Zhixin Bai, Qianlong Wang, Jingjie Lin, Min Yang, Xi Zeng, Ruifeng Xu. 2895-2899 [doi]
• Lost in Transliteration: Bridging the Script Gap in Neural IRAndreas Chari, Iadh Ounis, Sean MacAvaney. 2900-2905 [doi]
• SEALR: Sequential Emotion-Aware LLM-Based Personalized Recommendation SystemNamjun Lee, Jaekwang Kim. 2906-2910 [doi]
• Meta-Learning for Incomplete Multimodal Sentiment AnalysisGeng Tu, Tianhao Wu, Xuan Luo, Xi Zeng, Wenjie Li, Ruifeng Xu. 2911-2915 [doi]
• Document Similarity Enhanced IPS Estimation for Unbiased Learning to RankZeyan Liang, Graham McDonald, Iadh Ounis. 2916-2920 [doi]
• Balancing Precision and Generalization: Dynamic Instruction Generation for Model Adaptive Zero-Shot Reasoning in LLMsRuihan Zhu, Bo Wang 0011, Dongming Zhao, Jing Liu, Ruifang He, Yuexian Hou. 2921-2925 [doi]
• Generate-Distill: Training Cross-Language IR Models with Synthetically-Generated DataDawn J. Lawrie, Efsun Kayi, Eugene Yang, James Mayfield, Douglas W. Oard, Scott Miller. 2926-2930 [doi]
• Evaluating Contrastive Feedback for Effective User SimulationsAndreas Konstantin Kruff, Timo Breuer 0002, Philipp Schaer. 2931-2935 [doi]
• Effective Inference-Free Retrieval for Learned Sparse RepresentationsFranco Maria Nardini, Thong Nguyen 0004, Cosimo Rulli, Rossano Venturini, Andrew Yates. 2936-2940 [doi]
• Evaluating LLMs' (In)ability to Follow Prompts in QA TasksAparup Khatua, Tobias Kalmbach, Prasenjit Mitra, Sandipan Sikdar. 2941-2945 [doi]
• Are Information Retrieval Approaches Good at Harmonising Longitudinal Surveys in Social Science?Wing Yan Li, Zeqiang Wang, Jon Johnson, Suparna De. 2946-2950 [doi]
• Retrieving the Right Law: Enhancing Legal Search with Style TranslationSzu Ju Chen, Jing Jin, Sheng-Lun Wei, Chien-Hung Chen, Hsin-Hsi Chen. 2951-2955 [doi]
• Reinforcement Learning for Effective Few-Shot RankingShiva Soleimany, Sajad Ebrahimi, Shirin Seyedsalehi, Fattane Zarrinkalam, Ebrahim Bagheri. 2956-2961 [doi]
• Exploring the Role of Diversity in Example Selection for In-Context LearningJanak Kapuriya, Manit Kaushik, Debasis Ganguly, Sumit Bhatia. 2962-2966 [doi]
• Refining Fidelity Metrics for Explainable RecommendationsMikhail Baklanov, Veronika Bogina, Yehonatan Elisha, Yahlly Schein, Liron I. Allerhand, Oren Barkan, Noam Koenigstein. 2967-2971 [doi]
• Towards Best Practices of Axiomatic Activation Patching in Information RetrievalGregory Polyakov, Catherine Chen 0001, Carsten Eickhoff. 2972-2976 [doi]
• In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent ClassificationDaria Alexander, Arjen P. de Vries. 2977-2981 [doi]
• Aligning Web Query Generation with Ranking Objectives via Direct Preference OptimizationJoão Coelho, Bruno Martins, João Magalhães, Chenyan Xiong. 2982-2986 [doi]
• Low-Cost Document Retrieval with Dense Pseudo-Query EncodingShanxiu He, Wentai Xie, Yifan Qiao, Parker Carlson, Tao Yang 0009. 2987-2993 [doi]
• Measuring the Fairness Gap Between Retrieval and Generation in RAG Systems using a Cognitive Complexity FrameworkSandeep Avula, Chia-Jung Lee, Rongting Zhang, Vanessa Murdock 0001. 2994-2998 [doi]
• Fast and Effective Early Termination for Simple Ranking FunctionsJinrui Gou, Antonio Mallia, Yifan Liu, Minghao Shao, Torsten Suel. 2999-3003 [doi]
• Dynamic Superblock Pruning for Fast Learned Sparse RetrievalParker Carlson, Wentai Xie, Shanxiu He, Tao Yang 0009. 3004-3009 [doi]
• A Large-Scale Study of Reranker Relevance Feedback at InferenceRevanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji 0001, Hannaneh Hajishirzi. 3010-3014 [doi]
• KGMEL: Knowledge Graph-Enhanced Multimodal Entity LinkingJuyeon Kim, Geon Lee, Taeuk Kim, Kijung Shin. 3015-3019 [doi]
• HeterRec: Heterogeneous Information Transformer for Scalable Sequential RecommendationHao Deng, Haibo Xing, Kanefumi Matsuyama, Yulei Huang, Jinxin Hu, Hong Wen, Jia Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang. 3020-3024 [doi]
• Understanding Large Language Model Performance in Software Engineering: A Large-scale Question Answering BenchmarkRuida Hu, Chao Peng, Jingyi Ren, Bo Jiang, Xiangxin Meng, Qinyun Wu, Pengfei Gao, Xinchen Wang, Cuiyun Gao. 3025-3029 [doi]
• Towards Principled Learning for Re-ranking in Recommender SystemsQunwei Li, Linghui Li, Jianbin Lin, Wenliang Zhong. 3030-3034 [doi]
• LLM-based Query Expansion Fails for Unfamiliar and Ambiguous QueriesKenya Abe, Kunihiro Takeoka, Makoto P. Kato, Masafumi Oyamada. 3035-3039 [doi]
• Bridging Time Gaps: Temporal Logic Relations for Enhancing Temporal Reasoning in Large Language ModelsXintong Song, Bin Liang 0004, Yang Sun, Chenhua Zhang, Bingbing Wang, Ruifeng Xu. 3040-3044 [doi]
• The Effects of Demographic Instructions on LLM PersonasAngel Felipe Magnossão de Paula, J. Shane Culpepper, Alistair Moffat, Sachin Pathiyan Cherumanal, Falk Scholer, Johanne Trippas. 3045-3049 [doi]
• Augmenting Vision-Language Retrieval: The Role of Multimodal LLMs as Synthetic Data GeneratorsAidan Bell, James Gore, Behrooz Mansouri. 3050-3054 [doi]
• LLM-Driven Usefulness Labeling for IR EvaluationMouly Dewan, Jiqun Liu, Chirag Shah 0001. 3055-3059 [doi]
• Permutation-Invariant Transformers for Attribute Embeddings in Information RetrievalErnest Kirubakaran Selvaraj, Akshay Shah, Shubham Agrawal, Riya Hedaoo, Samira Golsefid. 3060-3064 [doi]
• HAETAE: In-domain Table Pretraining with Header AnchoringWoojun Jung, Susik Yoon. 3065-3069 [doi]
• RSGEA: Relationship Structure Line Graph for Semi-supervised Entity Alignment based on Edge Weight AdjustmentLinLin Ding, Mengjunyao Si, Mo Li 0004. 3070-3074 [doi]
• HiLTV: Hierarchical Multi-Distribution Modeling for Lifetime Value Prediction in Online GamesJunwei Xu, Aisi Zheng, Ling Ding, Huangbin Zhang, Zhengwei Deng, Qun Yu, Xiao-Ping Zhang. 3075-3079 [doi]
• LLM as User Simulator: Towards Training News Recommender without Real User InteractionsChoongwon Park. 3080-3084 [doi]
• Understanding Audio-Text Retrieval Through Singular Value DecompositionYoori Oh, Yoseob Han, Joonhyeon Bae, Jaeheon Sim, Kyogu Lee. 3085-3089 [doi]
• Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate PredictionZhuoxing Wei, Qi Liu, Qingchen Xie. 3090-3094 [doi]
• Leveraging Artificial Intelligence-Powered Virtual Assistant for Information Retrieval in Indigenous Agriculture: Insights from NigeriaOlusesan Michael Awoleye, Oluwamayowa Adebisi, Idowu Ademola Atoloye, Atanda Samuel Oladejo, Abiodun T. Atoloye, Cornelius Talade Atere, Victoria Tanimonure. 3095-3097 [doi]
• Dense Retrieval for Low Resource languages - the Case of Amharic LanguageTilahun Yeshambel, Moncef Garouani, Serge Molina, Josiane Mothe. 3098-3100 [doi]
• Advancing Chichewa IRStanley Ndebvu, Reuben Moyo, Catherine Chavula. 3101-3103 [doi]
• Towards Enhanced Agricultural Information Access in Kiswahili: Integrating Knowledge Graphs and Retrieval-Augmented GenerationJoseph P. Telemala, Neema Nicodemus Lyimo, Anna R. Kimaro, Camilius A. Sanga. 3104-3106 [doi]
• Some Things Never Change: Overcoming Persistent Challenges in Children IRMaria Soledad Pera, Theo Huibers, Emiliana Murgia, Monica Landoni. 3107-3109 [doi]
• Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with AutismLudovico Boratto, Federica Cena, Mirko Marras, Noemi Mauro, Giacomo Medda. 3110-3112 [doi]
• IR for AAC Users: A Hyperdimensional Computing (Vector Symbolic Architectures) ApproachHunter Briegel, Maya Pagal, J. Shane Culpepper. 3113-3115 [doi]
• Efficient Approximate Nearest Neighbor Search on a Raspberry PiSilvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini. 3116-3118 [doi]
• When Less is Enough: Optimizations for Low-Cost Recommendation SystemsMd. Danish Kalim, Deepanshu Hardaha, Shivansh Joshi. 3119-3121 [doi]
• Fair Access to Food Data in Africa: An Approach Based on Retrieval-Augmented GenerationJean Petit Bikim, Charles Loic Njiosseu, Emmanuel Leuna Fienkak, Azanzi Jiomekong, Sören Auer. 3122-3124 [doi]
• 2D Matryoshka Training for Information RetrievalShuai Wang 0032, Shengyao Zhuang, Bevan Koopman, Guido Zuccon. 3125-3134 [doi]
• A Reproducibility Study of Graph-Based Legal Case RetrievalGregor Donabauer, Udo Kruschwitz. 3135-3144 [doi]
• A Reproducibility Study of LLM Setwise Reranker with HeapsortDawn J. Lawrie, Efsun Kayi, James Mayfield, Eugene Yang, Andrew Yates, Douglas W. Oard. 3145-3154 [doi]
• A Worrying Reproducibility Study of Intent-Aware Recommendation ModelsFaisal Shehzad, Maurizio Ferrari Dacrema, Dietmar Jannach. 3155-3164 [doi]
• Accelerating Listwise Reranking: Reproducing and Enhancing FIRSTZijian Chen, Ronak Pradeep, Jimmy Lin. 3165-3172 [doi]
• Assessing Effective Token Length of Multimodal Models for Text-to-Image RetrievalLe-Nguyen, Preet Jain, Krutik Panchal, Md Tanvirul Alam, Nidhi Rastogi. 3173-3182 [doi]
• Benchmark Granularity and Model Robustness for Image-Text Retrieval: A Reproducibility StudyMariya Hendriksen, Shuo Zhang 0006, Ridho Reinanda, Mohamed Yahya 0001, Edgar Meij, Maarten de Rijke. 3183-3193 [doi]
• Benchmarking LLM-based Relevance Judgment MethodsNegar Arabzadeh, Charles L. A. Clarke. 3194-3204 [doi]
• Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise InsertionJakub Podolak, Leon Peric, Mina Janicijevic, Roxana Petcu. 3205-3213 [doi]
• Does UMBRELA work on other LLMs?Naghmeh Farzi, Laura Dietz. 3214-3222 [doi]
• Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using AnseriniJimmy Lin, Arthur Haonan Chen, Carlos Lassance, Xueguang Ma, Ronak Pradeep, Tommaso Teofili, Jasper Xian, Jheng-Hong Yang, Brayden Zhong, Vincent Zhong. 3223-3233 [doi]
• Information Leakage of Sentence Embeddings via Generative Embedding Inversion AttacksAntonios Tragoudaras, Theofanis Aslanidis, Emmanouil Georgios Lionis, Marina Orozco González, Panagiotis Eustratiadis. 3234-3243 [doi]
• Inside Out 2: Make Room for New Emotions & LLM: A Reproducibility Study of the Emotional Side of Search in the ClassroomHrishita Chakrabarti, Diletta Micol Tobia, Monica Landoni, Maria Soledad Pera. 3244-3254 [doi]
• Interpreting Multilingual and Document-Length Sensitive Relevance Computations in Neural Retrieval Models through Axiomatic Causal InterventionsOliver Savolainen, Dur e Najaf Amjad, Roxana Petcu. 3255-3264 [doi]
• Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility StudyZechun Niu, Zhilin Zhang, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen. 3265-3275 [doi]
• Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge AcquisitionZheng Yao, Shuai Wang 0032, Guido Zuccon. 3276-3285 [doi]
• RARR Unraveled: Component-Level Insights into Hallucination Detection and MitigationJonathan J. Ross, Ekaterina Khramtsova, Anton van der Vegt, Bevan Koopman, Guido Zuccon. 3286-3295 [doi]
• Reassessing Large Language Model Boolean Query Generation for Systematic ReviewsShuai Wang 0032, Harrisen Scells, Bevan Koopman, Guido Zuccon. 3296-3305 [doi]
• Reassessing the Effectiveness of Reinforcement Learning based Recommender Systems for Sequential RecommendationDilina Chandika Rajapakse, Dietmar Jannach. 3306-3314 [doi]
• Refined Medical Search via Dense Retrieval and User InteractionReyhaneh Goli, Alistair Moffat, George Buchanan 0001. 3315-3324 [doi]
• Replication and Exploration of Generative Retrieval over Dynamic CorporaZhen Zhang, Xinyu Ma, Weiwei Sun 0001, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren. 3325-3334 [doi]
• Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late InteractionJingfen Qiao, Jia-Huei Ju, Xinyu Ma, Evangelos Kanoulas, Andrew Yates. 3335-3345 [doi]
• Reproducing NevIR: Negation in Neural Information RetrievalCoen van den Elsen, Francien Barkhof, Thijmen Nijdam, Simon Lupart, Mohammad Aliannejadi. 3346-3356 [doi]
• Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of FindingsMatej Mosnar, Adam Skurla, Branislav Pecher, Matus Tibensky, Jan Jakubcik, Adrian Bindas, Peter Sakalik, Ivan Srba. 3357-3366 [doi]
• Unveiling DIME: Reproducibility, Generalizability, and Formal Analysis of Dimension Importance Estimation for Dense RetrievalCesare Campagnano, Antonio Mallia, Fabrizio Silvestri. 3367-3376 [doi]
• Unlearning for Federated Online Learning to Rank: A Reproducibility StudyYiling Tao, Shuyi Wang 0001, Jiaxi Yang, Guido Zuccon. 3377-3386 [doi]
• Variations in Relevance Judgments and the Shelf Life of Test CollectionsAndrew Parry, Maik Fröbe, Harrisen Scells, Ferdinand Schlatt, Guglielmo Faggioli, Saber Zerhoudi, Sean MacAvaney, Eugene Yang. 3387-3397 [doi]
• Tip of the Tongue Query Elicitation for Simulated EvaluationYifan He, To Eun Kim, Fernando Diaz 0001, Jaime Arguello, Bhaskar Mitra 0001. 3398-3407 [doi]
• A Flexible Resource for Top-Weighted Comparisons Between Sets and RankingsAlistair Moffat, Joel Mackenzie, Antonio Mallia, Matthias Petri. 3408-3411 [doi]
• A Versatile Dataset of Mouse and Eye Movements on Search Engine Results PagesKayhan Latifzadeh, Jacek Gwizdka, Luis A. Leiva. 3412-3421 [doi]
• An EEG Dataset of Word-level Brain Responses for Semantic Text RelevanceVadym Gryshchuk, Michiel M. A. Spapé, Maria Maistro, Christina Lioma, Tuukka Ruotsalo. 3422-3432 [doi]
• Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge GraphQiaosheng Chen, Kaijia Huang, Xiao Zhou, Weiqing Luo, Yuanning Cui, Gong Cheng 0001. 3433-3443 [doi]
• CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail KnowledgeArmin Toroghi, Willis Guo, Scott Sanner. 3444-3454 [doi]
• Conversational Gold: Evaluating Personalized Conversational Search System Using Gold NuggetsZahra Abbasiantaeb, Simon Lupart, Leif Azzopardi, Jeffrey Dalton 0001, Mohammad Aliannejadi. 3455-3465 [doi]
• CoSRec: A Joint Conversational Search and Recommendation DatasetMarco Alessio, Simone Merlo, Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro 0001, Cristina Ioana Muntean, Franco Maria Nardini, Fedelucio Narducci, Raffaele Perego 0001, Giuseppe Santucci, Nicola Viterbo. 3466-3477 [doi]
• DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender SystemsAlberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Antonio Ferrara 0001, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia. 3478-3487 [doi]
• Doctron: A Web-based Collaborative Annotation Tool for Ground Truth Creation in IROrnella Irrera, Stefano Marchesin 0001, Farzad Shami, Gianmaria Silvello. 3488-3497 [doi]
• Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering DatasetsPreetam Prabhu Srikar Dammu, Himanshu Naidu, Chirag Shah 0001. 3498-3508 [doi]
• ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope QuestionsZhiyuan Peng 0001, Jinming Nian, Alexandre V. Evfimievski, Yi Fang 0008. 3509-3519 [doi]
• Extending MovieLens-32M to Provide New Evaluation ObjectivesMark D. Smucker, Houmaan Chamani. 3520-3529 [doi]
• FACTors: A New Dataset for Studying the Fact-checking EcosystemEnes Altuncu, Can Baskent, Sanjay Bhattacherjee, Shujun Li, Dwaipayan Roy. 3530-3539 [doi]
• FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information RetrievalChen Xu 0010, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu 0001, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke. 3540-3550 [doi]
• IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving AgentsShrestha Mohanty, Negar Arabzadeh, Andrea Tupini, Yuxuan Sun 0004, Alexey Skrynnik, Artem Zholus, Marc-Alexandre Côté, Julia Kiseleva. 3551-3562 [doi]
• ir_explain: A Python Library of Explainable IR MethodsSourav Saha 0003, Harsh Agarwal, Venktesh V, Avishek Anand, Swastik Mohanty, Debapriyo Majumdar, Mandar Mitra. 3563-3572 [doi]
• JuDGE: Benchmarking Judgment Document Generation for Chinese Legal SystemWeihang Su, Baoqing Yue, Qingyao Ai, Yiran Hu, Jiaqi Li, Changyue Wang, Kaiyuan Zhang, Yueyue Wu, Yiqun Liu. 3573-3583 [doi]
• KIMERA: From Evaluation-as-a-Service to Evaluation-in-the-CloudAndrea Pasin, Nicola Ferro 0001. 3584-3594 [doi]
• LEMSS: LLM-Based Platform for Multi-Agent Competitive Search SimulationTommy Mordo, Tomer Kordonsky, Haya Nachimovsky, Moshe Tennenholtz, Oren Kurland. 3595-3605 [doi]
• LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation ConversationHaitao Li 0006, Yifan Chen, Hu YiRan, Qingyao Ai, Junjie Chen, Xiaoyu Yang, Jianhui Yang, Yueyue Wu, Zeyang Liu, Yiqun Liu. 3606-3615 [doi]
• MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal GenerationQinhan Yu, Zhiyou Xiao, Binghui Li, Zhengren Wang, Chong Chen 0001, Wentao Zhang. 3616-3626 [doi]
• MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer's DetectionArezo Shakeri, Mina Farmanbar, Krisztian Balog. 3627-3637 [doi]
• nlcTables: A Dataset for Marrying Natural Language Conditions with Table DiscoveryLingxi Cui, Huan Li 0003, Ke Chen, Lidan Shou, Gang Chen 0001. 3638-3647 [doi]
• PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in HealthcareRiccardo Lunardi, Michael Soprano, Paolo Coppola 0001, Vincenzo Della Mea, Stefano Mizzaro, Kevin Roitero. 3648-3658 [doi]
• PSCon: Product Search Through ConversationsJie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Shuxi Han, Heli Ma, Zheng Wang 0044, Yang Yang 0002, Heng Tao Shen. 3659-3669 [doi]
• Qilin: A Multimodal Information Retrieval Dataset with APP-level User SessionsJia Chen 0003, Qian Dong, Haitao Li 0006, Xiaohui He, Yan Gao 0017, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu 0002, Qingyao Ai, Yiqun Liu 0001. 3670-3680 [doi]
• RankLLM: A Python Package for Reranking with LLMsSahel Sharifymoghaddam, Ronak Pradeep, Andre Slavescu, Ryan Nguyen, Andrew Xu, Zijian Chen, Yilin Zhang, Yidi Chen, Jasper Xian, Jimmy Lin. 3681-3690 [doi]
• REANIMATOR: Reanimate Retrieval Test Collections with Extracted and Synthetic ResourcesBjörn Engelmann 0002, Fabian Haak, Philipp Schaer, Mani Erfanian Abdoust, Linus Netze, Meik Bittkowski. 3691-3701 [doi]
• RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel InterfacesSantiago de Leon-Martinez, Jingwei Kang, Róbert Móro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis, Mária Bieliková. 3702-3711 [doi]
• Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for Deep ResearchCorbin Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah 0001, Jennifer Neville, Nikhil Rao 0001. 3712-3722 [doi]
• Resource for Error Analysis in Text Simplification: New Taxonomy and Test CollectionBenjamin Vendeville, Liana Ermakova, Pierre De Loor. 3723-3732 [doi]
• SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in MarketingXiaoqing Zhang, Yuhan Liu, Jianzhou Wang, Zhenxing Hu, Xiuying Chen, Rui Yan. 3733-3742 [doi]
• SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Data Generation for Personalized Tourism RecommendersAshmi Banerjee, Adithi Satish, Fitri Nur Aisyah, Wolfgang Wörndl, Yashar Deldjoo. 3743-3752 [doi]
• TAFSIL: Taxonomy Adaptable Fine-grained Entity Recognition through Distant Supervision for Indian LanguagesPrachuryya Kaushik, Shivansh Mishra, Ashish Anand. 3753-3763 [doi]
• TIREx Tracker: The Information Retrieval Experiment TrackerTim Hagen, Maik Fröbe, Jan Heinrich Merker, Harrisen Scells, Matthias Hagen, Martin Potthast. 3764-3771 [doi]
• U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and PersonalizationHeng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Qinglang Guo, Min Zhang. 3772-3781 [doi]
• LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal DataGrigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier. 3782-3791 [doi]
• WebClasSeg-25: A Dual-Classified Webpage Segmentation Dataset - Integrating Functional and Maturity-Based AnalysisJonathan Gerber, Jasmin S. Saxer, Kimia Rabishokr, Bruno B. Kreiner, Andreas Weiler. 3792-3801 [doi]
• WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense RetrievalMichael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer. 3802-3811 [doi]
• Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia TablesAneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp. 3812-3820 [doi]
• WikiHint: A Human-Annotated Dataset for Hint Ranking and GenerationJamshid Mozafari, Florian Gerhold, Adam Jatowt. 3821-3831 [doi]
• Wrong Answers Can Also Be Useful: PlausibleQA - A Large-Scale QA Dataset with Answer Plausibility ScoresJamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt. 3832-3842 [doi]
• An Instruction-Response Perspective on Large Language Models in Information Retrieval TasksHideo Joho, Joemon M. Jose. 3843-3852 [doi]
• From Query to Conscience: The Importance of Information Retrieval in Empowering Socially Responsible ConsumerismFrans van der Sluis, Leif Azzopardi, Florian Meier 0001. 3853-3864 [doi]
• Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval EvaluationKrisztian Balog, Don Metzler, Zhen Qin 0001. 3865-3875 [doi]
• Information Retrieval for Artificial General Intelligence: A New Perspective of Information Retrieval ResearchChengXiang Zhai. 3876-3886 [doi]
• Brain-Machine Interfaces & Information Retrieval Challenges and OpportunitiesYashar Moshfeghi, Niall McGuire. 3887-3898 [doi]
• Adaptive Orchestration of Modular Generative Information Access SystemsMohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi. 3899-3910 [doi]
• From To-Do to Ta-Da: Transforming Task-Focused IR with Generative AIChirag Shah 0001, Ryen W. White. 3911-3921 [doi]
• NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI SearchSunhao Dai, Wenjie Wang, Liang Pang, Jun Xu 0001, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua. 3922-3931 [doi]
• Toward Holistic Evaluation of Recommender Systems Powered by Generative ModelsYashar Deldjoo, Nikhil Mehta 0002, Maheswaran Sathiamoorthy, Shuai Zhang 0007, Pablo Castells, Julian J. McAuley. 3932-3942 [doi]
• My System Is As Effective As Yours: Reproducibility, Sustainability, and MoreTetsuya Sakai. 3943-3953 [doi]
• RelEx: An XAI-Enhanced Relevance Feedback Model for User-Adaptive ExplanationsSayantan Polley, Govind Shukla, Pritha Ghosal, Andreas Nürnberger. 3954-3958 [doi]
• AiReview: An Open Platform for Accelerating Systematic Reviews with LLMsXinyu Mao, Teerapong Leelanupab, Martin Potthast, Harrisen Scells, Guido Zuccon. 3959-3963 [doi]
• FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender SystemYuhan Hu, Ziyu Lyu, Lu Bai 0001, Lixin Cui. 3964-3968 [doi]
• DeepReport: An AI-assisted Idea Generation System for Scientific ResearchYi Xu, Luoyi Fu, Shuqian Sheng, Bo Xue, Jiaxin Ding 0001, Lei Zhou 0016, Xinbing Wang, Chenghu Zhou. 3969-3973 [doi]
• Artifact Sharing for Information Retrieval ResearchSean MacAvaney. 3974-3979 [doi]
• OnSET: Ontology and Semantic Exploration ToolkitBenedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck. 3980-3984 [doi]
• Fact Verification in Knowledge Graphs Using LLMsFarzad Shami, Stefano Marchesin 0001, Gianmaria Silvello. 3985-3989 [doi]
• NLQxform-UI: An Interactive and Intuitive Scholarly Question Answering SystemRuijie Wang 0003, Zhiruo Zhang, Luca Rossetto, Florian Ruosch, Abraham Bernstein. 3990-3993 [doi]
• ROKSANA: An Open-Source Toolkit for Robust Graph-Based Keyword SearchRadin Hamidi Rad, Amir Khosrojerdi, Ebrahim Bagheri. 3994-3998 [doi]
• Nugget-based Annotation Protocol and Tool For Evaluating Long-form Retrieval-Augmented GenerationEugene Yang, Dawn J. Lawrie, Hoa Dang, Ian Soboroff, James Mayfield. 3999-4003 [doi]
• MMMORRF: Multimodal Multilingual MOdularized Reciprocal Rank FusionSaron Samuel, Dan DeGenaro, Jimena Guallar-Blasco, Kate Sanders 0002, Seun Eisape, Arun Reddy, Alexander Martin 0006, Andrew Yates, Eugene Yang, Cameron Carpenter, David Etter, Efsun Kayi, Matthew Wiesner, Kenton Murray, Reno Kriz. 4004-4009 [doi]
• Advancing Scientific Knowledge Retrieval and Reuse with a Novel Digital Library for Machine-Readable KnowledgeHadi Ghaemi, Lauren Snyder, Markus Stocker. 4010-4014 [doi]
• Conversational Bibliographic SearchMarkus Nilles, Ralf Schenkel. 4015-4019 [doi]
• Navigating Speech Recording Collections with AI-Generated IllustrationsSirina Håland, Trond Karlsen Strøm, Petra Galuscáková. 4020-4024 [doi]
• Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based VerificationMariano Barone, Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato. 4025-4029 [doi]
• Multimodal Search in Chemical Documents and ReactionsAyush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Amador, Patrick Philippy, Ming Zhong 0005, Siru Ouyang, David Mark Friday, David Bianchi, Nick Jackson, Richard Zanibbi, Jiawei Han 0001. 4030-4034 [doi]
• Constructing and Evaluating Declarative RAG Pipelines in PyTerrierCraig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng. 4035-4040 [doi]
• Targeted Multi-Modal Passage Search for Molecules and their Synthesis PathwaysAbhisek Dey, Nathaniel H. Stanley, Richard Zanibbi. 4041-4045 [doi]
• InstInfo: A Just-in-Time Literature Recommendation System for PresentationsKevin Ros, Rahul Suresh, ChengXiang Zhai. 4046-4050 [doi]
• CoachGPT: A Scaffolding-based Academic Writing AssistantFumian Chen, Sotheara Veng, Joshua Wilson, Xiaoming Li, Hui Fang 0001. 4051-4055 [doi]
• TINK: Text Information Navigation KitDean E. Alvarez, ChengXiang Zhai. 4056-4060 [doi]
• Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and ModalityXueguang Ma, Luyu Gao, Shengyao Zhuang, Jiaqi Samantha Zhan, Jamie Callan, Jimmy Lin. 4061-4065 [doi]
• A Flexible User Study Platform for Generative Information RetrievalYidong Liang, Zhijing Wu 0001, Yuchen He, Fengming Liang, Kexin Liu, Jiaxin Mao. 4066-4070 [doi]
• ReviewHQ: An API-Based System for Reviewer Assignment and Quality Control in Research ConferencesGuido Zuccon. 4071-4075 [doi]
• NodeRec+: A Lightweight Framework for Federated Recommender SystemsDiarmuid O'Reilly-Morgan, Erika Duriakova, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor. 4076-4080 [doi]
• ClusterChat: Multi-Feature Search for Corpus ExplorationAshish Chouhan, Saifeldin Mandour, Michael Gertz 0001. 4081-4085 [doi]
• Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information AccessYang Deng 0002, Moxin Li, Liang Pang, Wenxuan Zhang 0001, Wai Lam. 4086-4089 [doi]
• Information Retrieval in Finance: Industry and Academic Perspectives on InnovationChung-Chi Chen, Yongjae Lee, Alejandro Lopez-Lira, Chanyeol Choi, Richard McCreadie, Javier Sanz-Cruzado. 4090-4093 [doi]
• Conversational Search: From Fundamentals to Frontiers in the LLM EraFengran Mo, Chuan Meng, Mohammad Aliannejadi, Jian-Yun Nie. 4094-4097 [doi]
• Query Understanding in LLM-based Conversational Information SeekingYifei Yuan 0002, Zahra Abbasiantaeb, Mohammad Aliannejadi, Yang Deng 0002. 4098-4101 [doi]
• Efficient In-Memory Inverted Indexes: Theory and PracticeJoel Mackenzie, Sean MacAvaney, Antonio Mallia, Michal Siedlaczek. 4102-4105 [doi]
• 2LLMs: Retrieval and Ranking with LLMsGuido Zuccon, Shengyao Zhuang, Xueguang Ma. 4106-4109 [doi]
• Long Context vs. RAG: Strategies for Processing Long Documents in LLMsXinze Li, Yushi Bai, Bowen Jin, Fengbin Zhu, Liangming Pan, Yixin Cao 0002. 4110-4113 [doi]
• Psychological Aspects in Retrieval and RecommendationMarkus Schedl, Elisabeth Lex, Marko Tkalcic. 4114-4117 [doi]
• Dynamic and Parametric Retrieval-Augmented GenerationWeihang Su, Qingyao Ai, Jingtao Zhan, Qian Dong, Yiqun Liu 0001. 4118-4121 [doi]
• Neural Lexical Search with Learned Sparse RetrievalAndrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen 0004, Yibin Lei. 4122-4125 [doi]
• Fairness in Information Retrieval from an Economic PerspectiveChen Xu 0010, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu 0001, Maarten de Rijke. 4126-4129 [doi]
• The Second Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and OpportunitiesFernando Diaz 0001, Andrew Drozdov, To Eun Kim, Alireza Salemi, Hamed Zamani. 4130-4133 [doi]
• Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and DeploymentXinyu Lin 0001, Keqin Bao, Jizhi Zhang, Yang Zhang 0072, Wenjie Wang 0007, Fuli Feng. 4134-4137 [doi]
• Theory and Toolkits for User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System EvaluationKrisztian Balog, Nolwenn Bernard, Saber Zerhoudi, ChengXiang Zhai. 4138-4141 [doi]
• Robust-IR @ SIGIR 2025: The First Workshop on Robust Information RetrievalYu-An Liu, Haya Nachimovsky, Ruqing Zhang 0001, Oren Kurland, Jiafeng Guo, Moshe Tennenholtz. 4142-4145 [doi]
• Bridging User-centered AI with IR: Making Information Retrieval Accessible for AllNoemi Mauro, Angelo Geninatti Cossatin, Maria Soledad Pera, Federica Cena, Monica Landoni, Theo Huibers, Emiliana Murgia. 4146-4149 [doi]
• International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025)Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras. 4150-4152 [doi]
• ReNeuIR at SIGIR 2025: The Fourth Workshop on Reaching Efficiency in Neural Information RetrievalSebastian Bruch 0001, Maik Fröbe, Tim Hagen, Franco Maria Nardini, Martin Potthast. 4153-4156 [doi]
• SIGIR 2025 Workshop on eCommerce (ECOM25): From Research to Product: Challenges, Lessons, and Opportunities in eCommerce Search and RecommendationsYubin Kim 0001, Tracy Holloway King, Aditya Chichani, Pallavi Gudipati, Andrew Trotman. 4157-4159 [doi]
• 6th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2025)Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci. 4160-4163 [doi]
• Workshop on Explainability in Information RetrievalMaria Heuss, Catherine Chen 0001, Avishek Anand, Carsten Eickhoff, Suzan Verberne. 4164-4167 [doi]
• IR-RAG @SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG SystemsNegar Arabzadeh, Ziheng Chen, Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini. 4168-4171 [doi]
• Second SIGIR Workshop on Simulations for Information Access (Sim4IA 2025)Philipp Schaer, Christin Katharina Kreutz, Krisztian Balog, Timo Breuer 0002, Andreas Konstantin Kruff. 4172-4175 [doi]
• st NIP@IR Workshop on New Interaction Paradigms for Information Retrieval in the Era of Generative AIYujia Zhou 0002, Wei Ji, Xuri Ge, Qingyao Ai, Joemon M. Jose, Yiqun Liu 0001. 4176-4179 [doi]
• AgentIR: 2nd Workshop on Agent-based Information RetrievalPengyue Jia, Qingpeng Cai 0001, Xiangyu Zhao 0001, Ling Pan, Xin Xin 0003, Jin Huang, Weinan Zhang 0001, Li Zhao 0007, Dawei Yin, Grace Hui Yang. 4180-4183 [doi]
• FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AIFengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash Mehta, Pingping Chen, Bing Xiang, Tat-Seng Chua. 4184-4187 [doi]
• LLM4Eval: Large Language Model for Evaluation in IRClemencia Siro, Hossein A. Rahmani, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra 0001, Paul Thomas 0001, Emine Yilmaz. 4188-4191 [doi]
• MANILA25: SIGIR 2025 Workshop on Information Retrieval for Climate ImpactBart Van den Hurk, Maarten de Rijke, Flora Salim. 4192-4194 [doi]
• GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AIYashar Deldjoo, Scott Sanner, Enrico Palumbo, Hugues Bouchard, Shuai Zhang 0007, Pablo Castells, Julian J. McAuley. 4195-4198 [doi]
• The LiveRAG Challenge at SIGIR 2025David Carmel, Simone Filice, Guy Horowitz, Yoelle Maarek, Oren Somekh, Ran Tavory. 4199-4201 [doi]
• Towards Explainable and Safe Systems for Health DataEliseo Bao. 4202 [doi]
• Strategic Multi-Agent Dynamics in Competitive IRHaya Nachimovsky. 4203 [doi]
• Search Efficiency for Score-at-a-Time RetrievalKatelyn Harlan. 4204 [doi]
• Continuous Evaluation in Information Retrieval Across Methods and TimeJüri Keller. 4205 [doi]
• The Agent Perspective In LLM-Based Strategic Information Retrieval EcosystemsTommy Mordo. 4206 [doi]
• Conversational Search: Towards Personalization and EvaluationZahra Abbasiantaeb. 4207 [doi]
• Enhancing AI Agents with Human Theory of Mind (ToM) for Context-Aware ActionsMaryam Amirizaniani. 4208 [doi]
• Evaluating the Impact of Automated Labeling on Retrieval Instability in Neural IRWilliam A. Ingram. 4209 [doi]
• Towards Efficient and Effective Multi-modal RetrievalWatheq Mansour. 4210 [doi]
• Enhancing Knowledge Injection in Large Language Models for Efficient and Trustworthy ResponsesHeydar Soudani. 4211 [doi]
• From Professional Search to Generative Deep Research Systems: How Can Expert Oversight Improve Search Outcomes?Samy Ateia. 4212 [doi]
• A Generative Re-ranking Model for List-level Multi-objective Optimization at TaobaoYue Meng, Cheng Guo, Yi Cao, Tong Liu, Bo Zheng. 4213-4218 [doi]
• Graph Isomorphism Network-Based Cohort Modeling In Click-Through Rate PredictionXuan Ma, Hao Peng, Jia Duan, Zhanhao Ye, Langlang Ye, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin. 4219-4223 [doi]
• MO-LightGBM: A Library for Multi-objective Learning to Rank with LightGBMChaosheng Dong, Michinari Momma. 4224-4228 [doi]
• Retrieval for Semantic People SearchRupesh Gupta, Chujie Zheng, Haojun Li. 4229-4233 [doi]
• Adaptive Domain Scaling for Personalized Sequential Modeling in RecommendersZheng Chai, Hui Lu, Di Chen, Qin Ren, Yuchao Zheng, Xun Zhou. 4234-4238 [doi]
• Negative Exclusion Filtering: Optimizing Ad Delivery Efficiency for Large-Scale Social Media PlatformsMin Zhang, Ganlin Song, Fang Zhou, Dong Liang, Jianwei Xiao, Shengyu Huang, Lizhang Qin, Xi Yan, Rong Shi, Xiyuan Chen, Jing Xu, Zhaojun Zhang, Ye Wang, Gautam Srinivasan, Yang Wang, Qianru Li, Mahesh Masale, Zhengyu Zhang, Zeliang Chen, Ellie Wen, Puneet Sharma. 4239-4243 [doi]
• Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-CommerceJingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang. 4244-4248 [doi]
• Post-event Modeling via Causal Optimal Transport for CTR PredictionYizhou Sang, Congcong Liu, Yuying Chen, Zhiwei Fang, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, JingPing Shao. 4249-4253 [doi]
• IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest RetrievalYoungjune Lee, Haeyu Jeong, Changgeon Lim, Jeong Choi, Hongjun Lim, Hangon Kim, Jiyoon Kwon, Saehun Kim. 4254-4258 [doi]
• ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerceZheng Fang, Donghao Xie, Ming Pang, Chunyuan Yuan, Xue Jiang, Changping Peng, Zhangang Lin, Zheng Luo. 4259-4263 [doi]
• Embedding-based Retrieval in Multi-Modal Content ModerationHanzhong Liang, Jinghao Shi, Xiang Shen, Zixuan Wang, Vera Wen, Ardalan Mehrani, Zhiqian Chen, Yifan Wu, Zhixin Zhang. 4264-4268 [doi]
• PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time RetrievalZihan Niu, Zheyong Xie, Shaosheng Cao, Chonggang Lu, Zheyu Ye, Tong Xu 0001, Zuozhu Liu, Yan Gao 0017, Jia Chen 0003, Zhe Xu, Yi Wu, Yao Hu 0002. 4269-4274 [doi]
• GRAIN: Group-Reinforced Adaptive Interaction Network for Cold-Start CTR Prediction in E-commerce SearchWei Bao, Hao Chen, Bang Lin, Tao Zhang 0098, Chengfu Huo. 4275-4279 [doi]
• From Keywords to Concepts: A Late Interaction Approach to Semantic Product Search on IKEA.comAmritpal Singh Gill, Sannikumar Patel, Péter Varga, Patrick Miller, Sakis Athanasiadis. 4280-4283 [doi]
• SuperRS: Multi Scenario Reciprocal-Aware Dual MoE for Unified Recommendation-Search RankingZihan Xia, Chuanyu Xu, Tao Zhang, Chengfu Huo. 4284-4288 [doi]
• MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay SearchQi Zheng, Mingjie Zhong, Saisai Gong, Huimin Jiang, Kaixin Wu, Hong Liu, Jia Xu 0013, Linjian Mo. 4289-4293 [doi]
• Alleviating LLM-based Generative Retrieval Hallucination in Alipay SearchYedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo. 4294-4298 [doi]
• Multi-objective Aligned Bidword Generation Model for E-commerce Search AdvertisingZhenhui Liu, Chunyuan Yuan, Ming Pang, Zheng Fang, Li Yuan 0007, Xue Jiang, Changping Peng, Zhangang Lin, Zheng Luo, JingPing Shao. 4299-4303 [doi]
• A System for Triggering Sports Instant Answers on Search EnginesAnkith Karat, Atishay Tibrewal, Nishka Kotian, Manan Dang, Ravindra Valluri, Antony Ravi Teja Marineni, Sarthak Sahni, Rhea Sundaresan, Ankit Kumar, Aditya Mehndiratta, Sunil Shah, Arun D. Poondi, Chandra Bhushan, Subhasis Panigrahi, Manish Gupta. 4304-4308 [doi]
• Defining & Optimizing Quality of LinkedIn's Content SearchAli Hooshmand, Rupesh Gupta. 4309-4313 [doi]
• Language Model Alignment for Conversational Shopping at AmazonChen Luo, Dimitri Papadimitriou, Hariharan Muralidharan, Dhineshkumar Ramasubbu, Aakash Kolekar, Wenju Xu, Cong Xu, Anirudh Srinivasan, Mukesh Jain, Qi He. 4314-4318 [doi]
• Inquiry Assistant Using LLM-Generated Knowledge GraphsIstván Varga, Yuta Yamashita. 4319-4323 [doi]
• Retrieval-Augmented Image Captioning and Generation with Entity Concepts Enhancement for Baidu Multimodal AdvertisingLei Shen, Kang Zhao, Zhipeng Jin, Wen Tao, Yi Yang, Cong Han, Shuanglong Li, Zhongmin Cai, Lin Liu. 4324-4328 [doi]
• Optimize Visual Shopping Journey with Embedding-based Retrieval in Pinterest CloseupJunpeng Hou, Wei-Ting Lin, Arkin Dharawat, Jiaxing Qu, Qi Wang, Sai Xiao, XianXing Zhang, Weiran Li. 4329-4334 [doi]
• Insight Agents: An LLM-Based Multi-Agent System for Data InsightsJincheng Bai, Zhenyu Zhang, Jennifer Zhang, Jason Zhu. 4335-4339 [doi]
• Towards Improving Image Quality in Second-Hand Marketplaces with LLMsSandra Garcia Esparza, Victor Codina, Salma Lahbiss, Imène Sediri, Nafi Cissé. 4340-4344 [doi]
• Learning Universal User Representations Leveraging Cross-domain User Intent at SnapchatClark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao 0003, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Aykan Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah. 4345-4349 [doi]
• Content Moderation in TV Search: Balancing Policy Compliance, Relevance, and User ExperienceAdeep Hande, Kishorekumar Sundararajan, Sardar Hamidian, Ferhan Ture. 4350-4354 [doi]
• Towards More Relevant Product Search Ranking with Fulfillment Intent UnderstandingJingxu Xu, Xinyi Liu, Yang Yu, Semih Yagli, Jingbo Liu, Cun Mu. 4355-4359 [doi]
• Ontology-Guided Knowledge Graph Retrieval for Multi-Hop and Cross-Granularity Store Fulfillment QueriesMengyue Zhao, Matthew S. Nokleby, Bo Shen, Wenbo Dong, Deepti Pachauri, Andrew Yang. 4360-4364 [doi]
• Large Scale Deployment of BERT Based Cross Encoder Model for Re-Ranking in Walmart Search EngineAjit Puthenputhussery, Changsung Kang, Alessandro Magnani, Tian Zhang, Hongwei Shang, Nitin Yadav, Prijith Chandran, Bhavin Madhani, Yuan-Tai Fu, He Wang, Zbigniew Gasiorek, Salvatore Tornatore, Srikanth Dasaka, Vivek Agrawal, Michael Bowersox, Cun Mu, Ciya Liao. 4365-4369 [doi]
• Progressive Refinement of E-commerce Search Ranking Based on Short-Term Activities of the BuyerTaoran Sheng, Sathappan Muthiah, Atiq Islam, Jinming Feng. 4370-4374 [doi]
• Robust Inverse Retrieval in Online Advertising with Contrastive LearningPhaniram Sayapaneni, Konstantin Shmakov, Sunil Goda. 4375-4379 [doi]
• Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential RecommendationZhen Gong, Zhifang Fan, Hui Lu, Qiwei Chen, Chenbin Zhang, Lin Guan, Yuchao Zheng, Feng Zhang, Xiao Yang, Zuotao Liu. 4380-4384 [doi]
• Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMsJulia Belikova, Konstantin Polev, Rauf Parchiev, Dmitry Simakov. 4385-4389 [doi]