Table of Contents

• LADy ᖡ: A Benchmark Toolkit for Latent Aspect Detection Enriched with Backtranslation AugmentationFarinam Hemmatizadeh, Christine Wong, Alice Yu, Hossein Fani 0001. [doi]
• Representation Learning and Information RetrievalYiming Yang. 1-2 [doi]
• TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned DecisionRuiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen 0001, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang 0001. 3-13 [doi]
• "In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval"Andrew Parry, Debasis Ganguly, Manish Chandra. 14-25 [doi]
• CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive TasksXiaoxi Li, Zhicheng Dou, Yujia Zhou 0002, Fangchao Liu. 26-37 [doi]
• A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language ModelsShengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon. 38-47 [doi]
• Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive FeedbackQian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu 0001, Haitao Li, Yiqun Liu 0001, Shuaiqiang Wang, Dawei Yin, Shaoping Ma. 48-58 [doi]
• MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal ReasoningRuijie Wang 0004, Yutong Zhang, Jinyang Li 0004, Shengzhong Liu, Dachun Sun, Tianchen Wang, Tianshi Wang, Yizhuo Chen, Denizhan Kara, Tarek F. Abdelzaher. 59-69 [doi]
• Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge GraphZhiyu Fang, Shuai-Long Lei, Xiaobin Zhu 0001, Chun Yang, Shi-Xue Zhang, Xu-Cheng Yin, Jingyan Qin. 70-79 [doi]
• LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image RetrievalZhenyu Yang, Dizhan Xue, Shengsheng Qian, Weiming Dong, Changsheng Xu. 80-90 [doi]
• NativE: Multi-modal Knowledge Graph Completion in the WildYichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen. 91-101 [doi]
• Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph CompletionYu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai. 102-111 [doi]
• EditKG: Editing Knowledge Graph for RecommendationGu Tang, Xiaoying Gan, Jinghe Wang, Bin Lu 0005, Lyuwen Wu, Luoyi Fu, Chenghu Zhou. 112-122 [doi]
• Amazon-KG: A Knowledge Graph Enhanced Cross-Domain Recommendation DatasetYuhan Wang, Qing Xie 0002, Mengzi Tang, Lin Li, Jingling Yuan, Yongjian Liu. 123-130 [doi]
• YAGO 4.5: A Large and Clean Knowledge Base with a Rich TaxonomyFabian M. Suchanek, Mehwish Alam, Thomas Bonald, Lihu Chen, Pierre-Henri Paris, Jules Soria. 131-140 [doi]
• Ranked List Truncation for Large Language Model-based Re-RankingChuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke. 141-151 [doi]
• Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse RepresentationsSebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini. 152-162 [doi]
• GUITAR: Gradient Pruning toward Fast Neural RankingWeijie Zhao 0001, Shulong Tan, Ping Li. 163-173 [doi]
• Neural Passage Quality Estimation for Static PruningXuejun Chang, Debabrata Mishra, Craig Macdonald, Sean MacAvaney. 174-185 [doi]
• Revisiting Document Expansion and Filtering for Effective First-Stage RetrievalWatheq Mansour, Shengyao Zhuang, Guido Zuccon, Joel Mackenzie. 186-196 [doi]
• Unsupervised Cross-Domain Image Retrieval with Semantic-Attended Mixture-of-ExpertsKai Wang, Jiayang Liu, Xing Xu 0001, Jingkuan Song, Xin Liu 0011, Heng Tao Shen. 197-207 [doi]
• Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated ImagesShicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng. 208-217 [doi]
• COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural NetworksLili Zhao, Qi Liu 0003, Linan Yue, Wei Chen 0001, Liyi Chen, Ruijun Sun, Chao Song. 218-228 [doi]
• Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image RetrievalHaokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua. 229-239 [doi]
• Fine-grained Textual Inversion Network for Zero-Shot Composed Image RetrievalHaoqiang Lin, Haokun Wen, Xuemeng Song, Meng Liu 0006, Yupeng Hu, Liqiang Nie. 240-250 [doi]
• The Treatment of Ties in Rank-Biased OverlapMatteo Corsi, Julián Urbano. 251-260 [doi]
• Uncontextualized significance considered dangerousNicola Ferro 0001, Mark Sanderson. 261-270 [doi]
• Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and RelevanceTheresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma. 271-281 [doi]
• What Matters in a Measure? A Perspective from Large-Scale Search EvaluationPaul Thomas 0001, Gabriella Kazai, Nick Craswell, Seth Spielman. 282-292 [doi]
• CIRAL: A Test Collection for CLIR Evaluations in African LanguagesMofetoluwa Adeyemi, Akintunde Oladipo, Xinyu Zhang 0018, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Boxing Chen, Abdul-Hakeem Omotayo, Idris Abdulmumin, Naome A. Etori, Toyib Babatunde Musa, Samuel Fanijo, Oluwabusayo Olufunke Awoyomi, Saheed Abdullahi Salahudeen, Labaran Adamu Mohammed, Daud Olamide Abolade, Falalu Ibrahim Lawan, Maryam Sabo Abubakar, Ruqayya Nasir Iro, Amina Abubakar Imam, Shafie Abdi Mohamed, Hanad Mohamud Mohamed, Tunde Oluwaseyi Ajayi, Jimmy Lin. 293-302 [doi]
• ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style QueriesQiaosheng Chen, Weiqing Luo, Zixian Huang, Tengteng Lin, Xiaxia Wang 0001, Ahmet Soylu, Basil Ell, Baifan Zhou, Evgeny Kharlamov, Gong Cheng 0001. 303-312 [doi]
• Browsing and Searching Metadata of TRECTimo Breuer 0002, Ellen M. Voorhees, Ian Soboroff. 313-323 [doi]
• Large Language Models for Intent-Driven Session RecommendationsZhu Sun 0001, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong. 324-334 [doi]
• Sequential Recommendation with Latent Relations based on Large Language ModelShenghao Yang 0004, Weizhi Ma, Peijie Sun, Qingyao Ai, Yiqun Liu 0001, Mingchen Cai, Min Zhang. 335-344 [doi]
• Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language ModelsYankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou 0011. 345-354 [doi]
• IDGenRec: LLM-RecSys Alignment with Textual ID LearningJuntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang. 355-364 [doi]
• Data-efficient Fine-tuning for LLM-based RecommendationXinyu Lin, Wenjie Wang 0007, Yongqi Li 0001, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua. 365-374 [doi]
• Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action ModelingJie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose. 375-385 [doi]
• OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender SystemsShuyuan Xu, Wenyue Hua, Yongfeng Zhang. 386-394 [doi]
• Fair Sequential Recommendation without User DemographicsHuimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang. 395-404 [doi]
• CaDRec: Contextualized and Debiased Recommender ModelXinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu. 405-415 [doi]
• Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender SystemsJin Huang 0010, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke. 416-426 [doi]
• Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information AlignmentXinyu Zhu, Lilin Zhang, Ning Yang. 427-436 [doi]
• Configurable Fairness for New Item Recommendation Considering Entry Time of ItemsHuizhong Guo, Dongxia Wang 0002, Zhu Sun 0001, Haonan Zhang, Jinfeng Li, Jie Zhang 0002. 437-447 [doi]
• Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization ApproachTianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He 0001. 448-457 [doi]
• Generative Retrieval via Term Set GenerationPeitian Zhang, Zheng Liu, Yujia Zhou 0002, Zhicheng Dou, Fangchao Liu, Zhao Cao. 458-468 [doi]
• Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous DecodingHansi Zeng, Chen Luo 0003, Hamed Zamani. 469-480 [doi]
• Large Language Models and Future of Information Retrieval: Opportunities and ChallengesChengXiang Zhai. 481-490 [doi]
• GraphGPT: Graph Instruction Tuning for Large Language ModelsJiabin Tang, Yuhao Yang 0002, Wei Wei 0027, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang 0001. 491-500 [doi]
• Instruction-based Hypergraph PretrainingMingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu. 501-511 [doi]
• LLM-enhanced Cascaded Multi-level Learning on Temporal Heterogeneous GraphsFengyi Wang, Guanghui Zhu, Chunfeng Yuan, Yihua Huang. 512-521 [doi]
• Course Recommender Systems Need to Consider the Job MarketJibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser. 522-532 [doi]
• Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease PatientsZihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He 0001. 533-542 [doi]
• MIRROR: A Multi-View Reciprocal Recommender System for Online RecruitmentZhi Zheng, Xiao Hu, Shanshan Gao, Hengshu Zhu, Hui Xiong 0001. 543-552 [doi]
• MIND Your Language: A Multilingual Dataset for Cross-lingual News RecommendationAndreea Iana, Goran Glavas, Heiko Paulheim. 553-563 [doi]
• +: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and HealthinessMing Li, Lin Li, Xiaohui Tao 0001, Jimmy Xiangji Huang. 564-574 [doi]
• Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual SettingThilina Chaturanga Rajapakse, Andrew Yates, Maarten de Rijke. 575-584 [doi]
• Steering Large Language Models for Cross-lingual Information RetrievalPing Guo, Yubing Ren, Yue Hu 0002, Yanan Cao, Yunpeng Li, Heyan Huang. 585-596 [doi]
• Multilingual Meta-Distillation Alignment for Semantic RetrievalMeryem M'hamdi, Jonathan May, Franck Dernoncourt, Trung Bui, Seunghyun Yoon 0002. 597-607 [doi]
• DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-CompletionAishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta 0001, Maunendra Sankar Desarkar. 608-618 [doi]
• Enhanced Packed Marker with Entity Information for Aspect Sentiment Triplet ExtractionYou Li, Xupeng Zeng, Yixiao Zeng, Yuming Lin. 619-629 [doi]
• Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity RecognitionXinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu. 630-640 [doi]
• C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighoff, Defu Lian, Jian-Yun Nie. 641-649 [doi]
• QuanTemp: A real-world open-domain benchmark for fact-checking numerical claimsVenktesh V, Abhijit Anand, Avishek Anand, Vinay Setty. 650-660 [doi]
• ACE-2005-PT: Corpus for Event Extraction in PortugueseLuís Filipe Cunha, Purificação Silvano, Ricardo Campos 0001, Alípio Jorge. 661-666 [doi]
• Who To Align With: Feedback-Oriented Multi-Modal Alignment in Recommendation SystemsYang Li, Qi'ao Zhao, Chen Lin 0001, Jinsong Su, Zhilin Zhang. 667-676 [doi]
• Multimodality Invariant Learning for Multimedia-Based New Item RecommendationHaoyue Bai, Le Wu, Min Hou, MiaoMiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang. 677-686 [doi]
• IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFTJunchen Fu, Xuri Ge, Xin Xin 0003, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose. 687-697 [doi]
• EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video RecommendationShaorun Zhang, Zhiyu He, Ziyi Ye, Peijie Sun, Qingyao Ai, Min Zhang, Yiqun Liu 0001. 698-708 [doi]
• Dataset and Models for Item Recommendation Using Multi-Modal User InteractionsSimone Borg Bruun, Krisztian Balog, Maria Maistro. 709-718 [doi]
• The Power of Noise: Redefining Retrieval for RAG SystemsFlorin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri. 719-729 [doi]
• IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner MonologuesDiji Yang, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang. 730-740 [doi]
• Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language ModelsAlireza Salemi, Hamed Zamani. 741-751 [doi]
• Optimization Methods for Personalizing Large Language Models through Retrieval AugmentationAlireza Salemi, Surya Kallumadi, Hamed Zamani. 752-762 [doi]
• FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented GenerationShuai Wang, Ekaterina Khramtsova, Shengyao Zhuang, Guido Zuccon. 763-773 [doi]
• Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support ConversationZhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen 0001. 774-784 [doi]
• Broadening the View: Demonstration-augmented Prompt Learning for Conversational RecommendationHuy Dao, Yang Deng 0002, Dung D. Le, Lizi Liao. 785-795 [doi]
• Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational SearchHideaki Joko, Shubham Chatterjee, Andrew Ramsay, Arjen P. de Vries, Jeff Dalton 0001, Faegheh Hasibi. 796-806 [doi]
• Towards Human-centered Proactive Conversational AgentsYang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua. 807-818 [doi]
• TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge AssistantsMohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffrey Dalton 0001, Leif Azzopardi. 819-829 [doi]
• ProCIS: A Benchmark for Proactive Retrieval in ConversationsChris Samarinas, Hamed Zamani. 830-840 [doi]
• An Empirical Analysis on Multi-turn Conversational Recommender SystemsLu Zhang 0063, Chen Li, Yu Lei, Zhu Sun 0001, Guanfeng Liu. 841-851 [doi]
• UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal MatchingQuanxing Zha, Xin Liu, Yiu-ming Cheung, Xing Xu, Nannan Wang, Jianjia Cao. 852-861 [doi]
• Universal Adversarial Perturbations for Vision-Language Pre-trained ModelsPeng-fei Zhang, Zi Huang, Guangdong Bai. 862-871 [doi]
• Semi-supervised Prototype Semantic Association Learning for Robust Cross-modal RetrievalJunsheng Wang, Tiantian Gong, Yan Yan. 872-881 [doi]
• Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language ModelsXinwei Li, Li Lin, Shuai Wang, Chen Qian. 882-892 [doi]
• 3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation FrameworkZijian Zhang, Shuchang Liu 0006, Jiaao Yu, Qingpeng Cai 0001, Xiangyu Zhao 0001, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang 0002, Kun Gai. 893-902 [doi]
• Hypergraph Convolutional Network for User-Oriented Fairness in Recommender SystemsZhongxuan Han, Chaochao Chen 0001, Xiaolin Zheng, Li Zhang, Yuyuan Li. 903-913 [doi]
• DHMAE: A Disentangled Hypergraph Masked Autoencoder for Group RecommendationYingqi Zhao, Haiwei Zhang, Qijie Bai, Changli Nie, Xiaojie Yuan. 914-923 [doi]
• Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Andrew Yates, Mohammad Aliannejadi, Maarten de Rijke. 924-934 [doi]
• NFARec: A Negative Feedback-Aware Recommender ModelXinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Dongjin Yu. 935-945 [doi]
• Behavior-Contextualized Item Preference Modeling for Multi-Behavior RecommendationMingshi Yan, Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng 0001, Yahong Han. 946-955 [doi]
• AutoDCS: Automated Decision Chain Selection in Deep Recommender SystemsDugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang 0007, Xiuqiang He 0001, Zhong Ming 0001. 956-965 [doi]
• Adaptive In-Context Learning with Large Language Models for Bundle GenerationZhu Sun 0001, Kaidong Feng, Jie Yang 0028, Xinghua Qu, Hui Fang 0002, Yew-Soon Ong, Wenyuan Liu. 966-976 [doi]
• EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender SystemsYuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang. 977-987 [doi]
• SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity ScoresPatrik Dokoupil, Ladislav Peska, Ludovico Boratto. 988-995 [doi]
• Modeling User Fatigue for Sequential RecommendationNian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao. 996-1005 [doi]
• Characterizing Information Seeking Processes with Multiple Physiological SignalsKaixin Ji, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina. 1006-1017 [doi]
• To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes ProcessZhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu. 1018-1028 [doi]
• UniSAR: Modeling User Transition Behaviors between Search and RecommendationTeng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song. 1029-1039 [doi]
• Explainability for Transparent Conversational Information-SeekingWeronika Lajewska, Damiano Spina, Johanne Trippas, Krisztian Balog. 1040-1050 [doi]
• Evaluating Search System Explainability with Psychometrics and CrowdsourcingCatherine Chen, Carsten Eickhoff. 1051-1061 [doi]
• Sequential Recommendation with Collaborative Explanation via Mutual Information MaximizationYi Yu, Kazunari Sugiyama, Adam Jatowt. 1062-1072 [doi]
• Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE QuestionsSoumyadeep Roy, Aparup Khatua, Fatemeh Ghoochani, Uwe Hadler, Wolfgang Nejdl, Niloy Ganguly. 1073-1082 [doi]
• Hierarchical Semantics Alignment for 3D Human Motion RetrievalYang Yang 0002, Haoyu Shi, Huaiwen Zhang. 1083-1092 [doi]
• Enhancing Dataset Search with Compact Data SnippetsQiaosheng Chen, Jiageng Chen, Xiao Zhou, Gong Cheng 0001. 1093-1103 [doi]
• When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical ApplicationsQidong Liu, Xian Wu 0001, Xiangyu Zhao 0001, Yuanshao Zhu, Derong Xu, Feng Tian 0002, Yefeng Zheng 0001. 1104-1114 [doi]
• Resources for Combining Teaching and Research in Information Retrieval CourseworkMaik Fröbe, Harrisen Scells, Theresa Elstner, Christopher Akiki, Lukas Gienapp, Jan Heinrich Reimer, Sean MacAvaney, Benno Stein 0001, Matthias Hagen, Martin Potthast. 1115-1125 [doi]
• OEHR: An Orthopedic Electronic Health Record DatasetYibo Xie, Kaifan Wang, Jiawei Zheng, Feiyan Liu, Xiaoli Wang, Guofeng Huang. 1126-1135 [doi]
• SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social ContentTianlin Zhang, Kailai Yang, Shaoxiong Ji, Boyang Liu, Qianqian Xie, Sophia Ananiadou. 1136-1141 [doi]
• A Large Scale Test Corpus for Semantic Table SearchAristotelis Leventidis, Martin Pekár Christensen, Matteo Lissandrini, Laura Di Rocco, Katja Hose, Renée J. Miller. 1142-1151 [doi]
• JDivPS: A Diversified Product Search DatasetZhirui Deng, Zhicheng Dou, Yutao Zhu 0001, Xubo Qin, Pengchao Cheng, Jiangxu Wu, Hao Wang. 1152-1161 [doi]
• An E-Commerce Dataset Revealing Variations during SalesJianfu Zhang 0003, Qingtao Yu, Yizhou Chen, Guoliang Zhou, Yawen Liu, Yawei Sun, Chen Liang, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Han Yu 0001. 1162-1171 [doi]
• DDPO: Direct Dual Propensity Optimization for Post-Click Conversion Rate EstimationHongzu Su, Lichao Meng, Lei Zhu, Ke Lu 0001, Jingjing Li 0001. 1179-1188 [doi]
• Deep Pattern Network for Click-Through Rate PredictionHengyu Zhang, Junwei Pan, Dapeng Liu, Jie Jiang 0015, Xiu Li. 1189-1199 [doi]
• Counterfactual Ranking Evaluation with Flexible Click ModelsAlexander Buchholz, Ben London 0001, Giuseppe Di Benedetto, Jan Malte Lichtenberg, Yannik Stein, Thorsten Joachims. 1200-1210 [doi]
• Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in FeedXuejian Li, Ze Wang 0005, Bingqi Zhu, Fei He, Yongkang Wang 0011, Xingxing Wang. 1211-1220 [doi]
• CWRCzech: 100M Query-Document Czech Click Dataset and Its Application to Web Relevance RankingJosef Vonásek, Milan Straka, Rostislav Krc, Lenka Lasonová, Ekaterina Egorova, Jana Straková, Jakub Náplava. 1221-1231 [doi]
• Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale DatasetZhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He 0009, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan. 1232-1241 [doi]
• AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for RecommendationsWei Wu, Chao Wang, Dazhong Shen, Chuan Qin 0002, Liyi Chen, Hui Xiong. 1242-1252 [doi]
• Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative FilteringYi Zhang, Lei Sang, Yiwen Zhang. 1253-1262 [doi]
• Content-based Graph Reconstruction for Cold-start Item RecommendationJinri Kim, Eungi Kim, Kwangeun Yeo, Yujin Jeon, Chanwoo Kim, Sewon Lee, Joonseok Lee. 1263-1273 [doi]
• SIGformer: Sign-aware Graph Transformer for RecommendationSirui Chen, Jiawei Chen, Sheng Zhou 0004, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang 0001. 1274-1284 [doi]
• TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender SystemsPeiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li 0001, Senzhang Wang, Feiran Huang, Sunghun Kim 0001. 1285-1295 [doi]
• Lightweight Embeddings for Graph Collaborative FilteringXurong Liang, Tong Chen 0005, LiZhen Cui, Yang Wang, Meng Wang, Hongzhi Yin. 1296-1306 [doi]
• Leveraging LLMs for Unsupervised Dense Retriever RankingEkaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon. 1307-1317 [doi]
• Dimension Importance Estimation for Dense Information RetrievalGuglielmo Faggioli, Nicola Ferro 0001, Raffaele Perego 0001, Nicola Tonellotto. 1318-1328 [doi]
• Graded Relevance Scoring of Written Essays with Dense RetrievalSalam Albatarni, Sohaila Eltanbouly, Tamer Elsayed. 1329-1338 [doi]
• Scaling Laws For Dense RetrievalYan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen 0003, Yiqun Liu 0001. 1339-1349 [doi]
• Diffusion Models for Generative Outfit RecommendationYiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He 0001. 1350-1359 [doi]
• Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order ConnectivityYu Hou, Jin-Duk Park, Won-Yong Shin. 1360-1369 [doi]
• Denoising Diffusion Recommender ModelJujia Zhao, Wang Wenjie, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua. 1370-1379 [doi]
• Graph Signal Diffusion Model for Collaborative FilteringYunqin Zhu, Chao Wang, Qi Zhang, Hui Xiong. 1380-1390 [doi]
• Multi-granular Adversarial Attacks against Black-box Neural Ranking ModelsYu-An Liu, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng. 1391-1400 [doi]
• Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval ModelsCatherine Chen, Jack Merullo, Carsten Eickhoff. 1401-1410 [doi]
• A Reproducibility Study of PLAIDSean MacAvaney, Nicola Tonellotto. 1411-1419 [doi]
• Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIRNandan Thakur, Luiz Bonifacio, Maik Fröbe, Alexander Bondarenko 0001, Ehsan Kamalloo, Martin Potthast, Matthias Hagen, Jimmy Lin. 1420-1430 [doi]
• Resources for Brewing BEIR: Reproducible Reference Models and Statistical AnalysesEhsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin. 1431-1440 [doi]
• Optimal Transport Enhanced Cross-City Site RecommendationXinhang Li, Xiangyu Zhao, Zihao Wang, Yang Duan, Yong Zhang, Chunxiao Xing. 1441-1451 [doi]
• Disentangled Contrastive Hypergraph Learning for Next POI RecommendationYantong Lai, Yijun Su, Lingwei Wei, Tianqi He, Haitao Wang, Gaode Chen, Daren Zha, Qiang Liu, Xingxing Wang. 1452-1462 [doi]
• Large Language Models for Next Point-of-Interest RecommendationPeibo Li, Maarten de Rijke, Hao Xue 0001, Shuang Ao, Yang Song 0001, Flora D. Salim. 1463-1472 [doi]
• CLLP: Contrastive Learning Framework Based on Latent Preferences for Next POI RecommendationHongli Zhou, Zhihao Jia, Haiyang Zhu, Zhizheng Zhang 0002. 1473-1482 [doi]
• OpenSiteRec: An Open Dataset for Site RecommendationXinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing. 1483-1493 [doi]
• A Taxation Perspective for Fair Re-rankingChen Xu 0010, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu 0001, Tat-Seng Chua. 1494-1503 [doi]
• Fairness-Aware Exposure Allocation via Adaptive RerankingThomas Jänich, Graham McDonald, Iadh Ounis. 1504-1513 [doi]
• The Impact of Group Membership Bias on the Quality and Fairness of Exposure in RankingAli Vardasbi, Maarten de Rijke, Fernando Diaz 0001, Mostafa Dehghani 0001. 1514-1524 [doi]
• Optimizing Learning-to-Rank Models for Ex-Post Fair RelevanceSruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis. 1525-1534 [doi]
• Unbiased Learning-to-Rank Needs Unconfounded Propensity EstimationDan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen 0001, Chenliang Li, Dawei Yin, Brian D. Davison 0001. 1535-1545 [doi]
• Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search DatasetPhilipp Hager, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, Maarten de Rijke. 1546-1556 [doi]
• Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario ContextMoyu Zhang, Yongxiang Tang, Jinxin Hu, Yu Zhang. 1557-1566 [doi]
• Scaling Sequential Recommendation Models with TransformersPablo Zivic, Hernán Ceferino Vázquez, Jorge Sánchez. 1567-1577 [doi]
• A Generic Behavior-Aware Data Augmentation Framework for Sequential RecommendationJing Xiao, Weike Pan, Zhong Ming 0001. 1578-1588 [doi]
• CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential RecommendationXiaolong Xu 0001, Hongsheng Dong, Lianyong Qi, Xuyun Zhang, Haolong Xiang, Xiaoyu Xia, Yanwei Xu, Wanchun Dou. 1589-1598 [doi]
• FineRec: Exploring Fine-grained Sequential RecommendationXiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma. 1599-1608 [doi]
• SelfGNN: Self-Supervised Graph Neural Networks for Sequential RecommendationYuxi Liu, Lianghao Xia, Chao Huang. 1609-1618 [doi]
• EulerFormer: Sequential User Behavior Modeling with Complex Vector AttentionZhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen. 1619-1628 [doi]
• Bootstrap Deep Metric for Seed Expansion in Attributed NetworksChunquan Liang, Yifan Wang, Qiankun Chen, Xinyuan Feng, Luyue Wang, Mei Li, Hongming Zhang. 1629-1638 [doi]
• Grand: A Fast and Accurate Graph Retrieval Framework via Knowledge DistillationLin Lan, Pinghui Wang, Rui Shi, Tingqing Liu, Juxiang Zeng, Feiyang Sun 0001, Yang Ren, Jing Tao, Xiaohong Guan. 1639-1648 [doi]
• Intent Distribution based Bipartite Graph Representation LearningHaojie Li, Wei Wei, Guanfeng Liu, Jinhuan Liu, Feng Jiang, Junwei Du. 1649-1658 [doi]
• TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-LearningRuijie Wang 0004, Jingyuan Huang, Yutong Zhang, Jinyang Li 0004, Yufeng Wang, Wanyu Zhao, Shengzhong Liu, Charith Mendis, Tarek F. Abdelzaher. 1659-1669 [doi]
• A Dual-Embedding Based DQN for Worker Recruitment in Spatial Crowdsourcing with Social NetworkYucen Gao, Wei Liu, Jianxiong Guo, Xiaofeng Gao 0001, Guihai Chen. 1670-1679 [doi]
• Scalable Community Search over Large-scale Graphs based on Graph TransformerYuxiang Wang 0001, Xiaoxuan Gou, Xiaoliang Xu, Yuxia Geng, Xiangyu Ke, Tianxing Wu 0001, Zhiyuan Yu, Runhuai Chen, Xiangying Wu. 1680-1690 [doi]
• k-Truss IndexXiaoqin Xie, Shuangyuan Liu, Jiaqi Zhang, Shuai Han 0002, Wei Wang, Wu Yang 0001. 1691-1700 [doi]
• Untargeted Adversarial Attack on Knowledge Graph EmbeddingsTianzhe Zhao, Jiaoyan Chen 0001, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu. 1701-1711 [doi]
• Poisoning Decentralized Collaborative Recommender System and Its CountermeasuresRuiqi Zheng, Liang Qu, Tong Chen 0005, Kai Zheng 0001, Yuhui Shi, Hongzhi Yin. 1712-1721 [doi]
• Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective TransportJiajie Su, Chaochao Chen, Weiming Liu 0005, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng. 1722-1732 [doi]
• LoRec: Combating Poisons with Large Language Model for Robust Sequential RecommendationKaike Zhang, Qi Cao, Yunfan Wu, Fei Sun 0001, Huawei Shen, Xueqi Cheng. 1733-1742 [doi]
• Improving the Accuracy of Locally Differentially Private Community Detection by Order-consistent Data PerturbationTaolin Guo, Shunshun Peng, Zhejian Zhang, Mengmeng Yang, Kwok-Yan Lam. 1743-1752 [doi]
• Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative FilteringAlex Martinez, Mihnea Tufis, Ludovico Boratto. 1753-1762 [doi]
• ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User BenefitWenjie Li 0008, Zhongren Wang, Jinpeng Wang, Shutao Xia, Jile Zhu, Mingjian Chen, Jiangke Fan, Jia Cheng, Jun Lei. 1763-1773 [doi]
• GPT4Rec: Graph Prompt Tuning for Streaming RecommendationPeiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li 0001, Feiran Huang, Senzhang Wang, Sunghun Kim 0001. 1774-1784 [doi]
• LLaRA: Large Language-Recommendation AssistantJiayi Liao, Sihang Li, Zhengyi Yang 0007, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He 0001. 1785-1795 [doi]
• Let Me Do It For You: Towards LLM Empowered Recommendation via Tool LearningYuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke. 1796-1806 [doi]
• On Generative Agents in RecommendationAn Zhang 0003, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua. 1807-1817 [doi]
• Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage RetrievalGuangyuan Ma, Xing Wu 0002, Zijia Lin, Songlin Hu. 1818-1827 [doi]
• Generative Retrieval as Multi-Vector Dense RetrievalShiguang Wu 0003, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma 0001, Zhaochun Ren, Maarten de Rijke, Pengjie Ren. 1828-1838 [doi]
• I3: Intent-Introspective Retrieval Conditioned on InstructionsKaihang Pan, Juncheng Li 0006, Wenjie Wang, Hao Fei 0001, Hongye Song, Wei Ji 0008, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang. 1839-1849 [doi]
• Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration PolicyChangshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu. 1850-1860 [doi]
• Treatment Effect Estimation for User Interest Exploration on Recommender SystemsJiaju Chen, Wenjie Wang 0007, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua. 1861-1871 [doi]
• Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term RetentionZiru Liu, Shuchang Liu 0006, Zijian Zhang, Qingpeng Cai 0001, Xiangyu Zhao 0001, Kesen Zhao, Lantao Hu, Peng Jiang 0002, Kun Gai. 1872-1882 [doi]
• Disentangling ID and Modality Effects for Session-based RecommendationXiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma. 1883-1892 [doi]
• Large Language Models are Learnable Planners for Long-Term RecommendationWentao Shi, Xiangnan He 0001, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng. 1893-1903 [doi]
• On the Evaluation of Machine-Generated ReportsJames Mayfield, Eugene Yang, Dawn J. Lawrie, Sean MacAvaney, Paul McNamee, Douglas W. Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Selin Kayi, Kate Sanders 0002, Marc Mason, Noah Hibbler. 1904-1915 [doi]
• Evaluating Generative Ad Hoc Information RetrievalLukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guido Zuccon, Benno Stein 0001, Matthias Hagen, Martin Potthast. 1916-1929 [doi]
• Large Language Models can Accurately Predict Searcher PreferencesPaul Thomas 0001, Seth Spielman, Nick Craswell, Bhaskar Mitra 0001. 1930-1940 [doi]
• Are Large Language Models Good at Utility Judgments?Hengran Zhang, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng. 1941-1951 [doi]
• Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMsClemencia Siro, Mohammad Aliannejadi, Maarten de Rijke. 1952-1962 [doi]
• A Workbench for Autograding Retrieve/Generate SystemsLaura Dietz. 1963-1972 [doi]
• CIQA: A Coding Inspired Question Answering ModelMousa Arraf, Kira Radinsky. 1973-1983 [doi]
• Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question AnsweringDuokang Wang, Linmei Hu, Rui Hao, Yingxia Shao, Xin Lv, Liqiang Nie, Juanzi Li. 1984-1994 [doi]
• MTMS: Multi-teacher Multi-stage Knowledge Distillation for Reasoning-Based Machine Reading ComprehensionZhuo Zhao, Zhiwen Xie, Guangyou Zhou, Jimmy Xiangji Huang. 1995-2005 [doi]
• Exploring the Trade-Off within Visual Information for MultiModal Sentence SummarizationMinghuan Yuan, Shiyao Cui, Xinghua Zhang, Shicheng Wang, Hongbo Xu, Tingwen Liu. 2006-2017 [doi]
• Flexible and Adaptable Summarization via Expertise SeparationXiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan 0001, Xin Gao 0001, Xiangliang Zhang 0001. 2018-2027 [doi]
• Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific SummarizationPancheng Wang, Shasha Li 0001, Dong Li, Kehan Long, Jintao Tang, Ting Wang. 2028-2037 [doi]
• ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper PagesBhawna Piryani, Jamshid Mozafari, Adam Jatowt. 2038-2048 [doi]
• ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringAbdelrahman Abdallah, Mahmoud SalahEldin Kasem, Mahmoud Abdalla, Mohamed Mahmoud, Mohamed Elkasaby, Yasser Elbendary, Adam Jatowt. 2049-2059 [doi]
• TriviaHG: A Dataset for Automatic Hint Generation from Factoid QuestionsJamshid Mozafari, Anubhav Jangra, Adam Jatowt. 2060-2070 [doi]
• Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential RecommendationChung Park, Taesan Kim, Hyungjun Yoon, Junui Hong, Yelim Yu, Mincheol Cho, Minsung Choi, Jaegul Choo. 2071-2080 [doi]
• Aiming at the Target: Filter Collaborative Information for Cross-Domain RecommendationHanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma. 2081-2090 [doi]
• Identifiability of Cross-Domain Recommendation via Causal Subspace DisentanglementJing Du 0003, Zesheng Ye, Bin Guo 0001, Zhiwen Yu 0001, Lina Yao 0001. 2091-2101 [doi]
• On the Negative Perception of Cross-domain Recommendations and ExplanationsDenis Kotkov, Alan Medlar, Yang Liu 0254, Dorota Glowacka. 2102-2113 [doi]
• DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain RecommendationYu Li, Yi Zhang, Zimu Zhou, Qiang Li 0008. 2114-2123 [doi]
• Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain RecommendationsZhi Li, Daichi Amagata, Yihong Zhang 0001, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa. 2124-2133 [doi]
• Multi-Domain Sequential Recommendation via Domain Space LearningJunyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu. 2134-2144 [doi]
• Capability-aware Prompt Reformulation Learning for Text-to-Image GenerationJingtao Zhan, Qingyao Ai, Yiqun Liu 0001, Jia Chen 0003, Shaoping Ma. 2145-2155 [doi]
• 2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text RetrievalXingning Dong, Zipeng Feng, Chunluan Zhou, Xuzheng Yu, Ming Yang, Qingpei Guo. 2156-2166 [doi]
• Short Video Ordering via Position Decoding and Successor PredictionShiping Ge, Qiang Chen, Zhiwei Jiang, Yafeng Yin, Ziyao Chen, Qing Gu. 2167-2176 [doi]
• CaLa: Complementary Association Learning for Augmenting Comoposed Image RetrievalXintong Jiang, Yaxiong Wang, Mengjian Li, Yujiao Wu, Bingwen Hu, Xueming Qian. 2177-2187 [doi]
• CFIR: Fast and Effective Long-Text To Image Retrieval for Large CorporaZijun Long, Xuri Ge, Richard McCreadie, Joemon M. Jose. 2188-2198 [doi]
• CaseLink: Inductive Graph Learning for Legal Case RetrievalYanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li 0001, Zi Huang. 2199-2209 [doi]
• Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative ApproachWeicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen, Jun Xu. 2210-2220 [doi]
• Event Grounded Criminal Court View Generation with Cooperative (Large) Language ModelsLinan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An. 2221-2230 [doi]
• Legal Statute Identification: A Case Study using State-of-the-Art Datasets and MethodsShounak Paul, Rajas Bhatt, Pawan Goyal 0002, Saptarshi Ghosh 0001. 2231-2240 [doi]
• CivilSum: A Dataset for Abstractive Summarization of Indian Court DecisionsManuj Malik, Zheng Zhao 0005, Marcio Fonseca, Shrisha Rao 0001, Shay B. Cohen. 2241-2250 [doi]
• LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval DatasetHaitao Li, Yunqiu Shao, Yueyue Wu, Qingyao Ai, Yixiao Ma, Yiqun Liu 0001. 2251-2260 [doi]
• A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor SearchThomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch. 2261-2265 [doi]
• A Persona-Infused Cross-Task Graph Network for Multimodal Emotion Recognition with Emotion Shift Detection in ConversationsGeng Tu, Feng Xiong, Bin Liang, Ruifeng Xu. 2266-2270 [doi]
• A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage RetrievalIvica Kostric, Krisztian Balog. 2271-2275 [doi]
• Analyzing and Mitigating Repetitions in Trip RecommendationWenzheng Shu, Kangqi Xu, Wenxin Tai, Ting Zhong, Yong Wang, Fan Zhou 0002. 2276-2280 [doi]
• Analyzing Fusion Methods Using the Condorcet RuleLiron Tyomkin, Oren Kurland. 2281-2285 [doi]
• Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation SystemsDayu Yang, Fumian Chen, Hui Fang 0001. 2286-2290 [doi]
• Behavior Pattern Mining-based Multi-Behavior RecommendationHaojie Li, Zhiyong Cheng 0001, Xu Yu, Jinhuan Liu, Guanfeng Liu, Junwei Du. 2291-2295 [doi]
• Bi-Objective Negative Sampling for Sensitivity-Aware SearchJack McKechnie, Graham McDonald, Craig Macdonald. 2296-2300 [doi]
• Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-CheckLinhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou 0015, Liang He 0001. 2301-2305 [doi]
• BRB-KMeans: Enhancing Binary Data Clustering for Binary Product QuantizationSuwon Lee, Sang-Min Choi. 2306-2310 [doi]
• Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User BehaviorsBinzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo. 2311-2315 [doi]
• Can LLMs Master Math? Investigating Large Language Models on Math Stack ExchangeAnkit Satpute, Noah Gießing, André Greiner-Petter, Moritz Schubotz, Olaf Teschke, Akiko Aizawa, Bela Gipp. 2316-2320 [doi]
• Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?Minghan Li 0002, Honglei Zhuang, Kai Hui 0001, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky. 2321-2326 [doi]
• Cluster-based Partial Dense Retrieval Fused with Sparse Text RetrievalYingrui Yang, Parker Carlson, Shanxiu He, Yifan Qiao, Tao Yang. 2327-2331 [doi]
• Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation DetectionXia Zeng, David La Barbera, Kevin Roitero, Arkaitz Zubiaga, Stefano Mizzaro. 2332-2336 [doi]
• Contextualization with SPLADE for High Recall RetrievalEugene Yang. 2337-2341 [doi]
• Convex Feature Embedding for Face and Voice AssociationJiwoo Kang 0001, Taewan Kim, Young-Ho Park. 2342-2346 [doi]
• Counterfactual Augmentation for Robust Authorship Representation LearningHieu Man, Thien Huu Nguyen. 2347-2351 [doi]
• Cross-reconstructed Augmentation for Dual-target Cross-domain RecommendationQingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang. 2352-2356 [doi]
• Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening PrioritisationXinyu Mao, Shengyao Zhuang, Bevan Koopman, Guido Zuccon. 2357-2362 [doi]
• Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data ManipulationYoori Oh, Yoseob Han, Kyogu Lee. 2363-2367 [doi]
• Distillation for Multilingual Information RetrievalEugene Yang, Dawn J. Lawrie, James Mayfield. 2368-2373 [doi]
• EASE-DR: Enhanced Sentence Embeddings for Dense RetrievalXixi Zhou, Yang Gao, Xin Jie, Xiaoxu Cai, Jiajun Bu, Haishuai Wang. 2374-2378 [doi]
• Enhancing Criminal Case Matching through Diverse Legal FactorsJie Zhao, Ziyu Guan, Wei Zhao, Yue Jiang. 2379-2383 [doi]
• Enhancing Task Performance in Continual Instruction Fine-tuning Through Format UniformityXiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi. 2384-2389 [doi]
• Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted TreesJingwei Kang, Maarten de Rijke, Harrie Oosterhuis. 2390-2394 [doi]
• Evaluating Retrieval Quality in Retrieval-Augmented GenerationAlireza Salemi, Hamed Zamani. 2395-2400 [doi]
• Explainable Uncertainty Attribution for Sequential RecommendationCarles Balsells Rodas, Fan Yang, Zhishen Huang, Yan Gao. 2401-2405 [doi]
• Fake News Detection via Multi-scale Semantic Alignment and Cross-modal AttentionJiandong Wang, Hongguang Zhang, Chun Liu, Xiongjun Yang. 2406-2410 [doi]
• Faster Learned Sparse Retrieval with Block-Max PruningAntonio Mallia, Torsten Suel, Nicola Tonellotto. 2411-2415 [doi]
• FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate PredictionWentao Ouyang, Rui Dong, Ri Tao, Xiangzheng Liu. 2416-2420 [doi]
• Fine-Tuning LLaMA for Multi-Stage Text RetrievalXueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin. 2421-2425 [doi]
• From Text to Context: An Entailment Approach for News Stakeholder ClassificationAlapan Kuila, Sudeshna Sarkar. 2426-2430 [doi]
• General-Purpose User Modeling with Behavioral Logs: A Snapchat Case StudyQixiang Fang, Zhihan Zhou 0001, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen 0002, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch. 2431-2436 [doi]
• Generalizable Tip-of-the-Tongue Retrieval with LLM Re-rankingLuís Borges, Rohan Jha, Jamie Callan, Bruno Martins 0001. 2437-2441 [doi]
• Graph Diffusive Self-Supervised Learning for Social RecommendationJiuqiang Li, Hongjun Wang. 2442-2446 [doi]
• Graph Reasoning Enhanced Language Models for Text-to-SQLZheng Gong, Ying Sun. 2447-2451 [doi]
• Grasping Both Query Relevance and Essential Content for Query-focused SummarizationYe Xiong, Hidetaka Kamigaito, Soichiro Murakami, Peinan Zhang, Hiroya Takamura, Manabu Okumura. 2452-2456 [doi]
• IdmGAE: Importance-Inspired Dynamic Masking for Graph AutoencodersGe Chen, Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu 0018, Cuicui Luo. 2457-2461 [doi]
• Improving In-Context Learning via Sequentially Selection and Preference Alignment for Few-Shot Aspect-Based Sentiment AnalysisQianlong Wang, Keyang Ding, Xuan Luo, Ruifeng Xu. 2462-2466 [doi]
• Inferring Climate Change Stances from Multimodal TweetsNan Bai, Ricardo da Silva Torres, Anna Fensel, Tamara Metze, Art Dewulf. 2467-2471 [doi]
• Information Diffusion Prediction via Cascade-Retrieved In-context LearningTing Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou 0002, Xueqin Chen 0002. 2472-2476 [doi]
• Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call TranscriptsSubhendu Khatuya, Koushiki Sinha, Niloy Ganguly, Saptarshi Ghosh 0001, Pawan Goyal 0002. 2477-2481 [doi]
• Label Hierarchical Structure-Aware Multi-Label Few-Shot Intent Detection via Prompt TuningXiaotong Zhang 0003, Xinyi Li, Han Liu, Xinyue Liu, Xianchao Zhang 0001. 2482-2486 [doi]
• Language Fairness in Multilingual Information RetrievalEugene Yang, Thomas Jänich, James Mayfield, Dawn J. Lawrie. 2487-2491 [doi]
• Large Language Models Based Stemming for Information Retrieval: Promises, Pitfalls and FailuresShuai Wang, Shengyao Zhuang, Guido Zuccon. 2492-2496 [doi]
• MACA: Memory-aided Coarse-to-fine Alignment for Text-based Person SearchLiangxu Su, Rong-Quan, Zhiyuan Qi, Jie Qin. 2497-2501 [doi]
• Masked Graph Transformer for Large-Scale RecommendationHuiyuan Chen, Zhe Xu 0007, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng 0001, Minghua Xu 0003, Hanghang Tong. 2502-2506 [doi]
• Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional EmbeddingDongning Ma, Xun Jiao. 2507-2511 [doi]
• MKV: Mapping Key Semantics into Vectors for Rumor DetectionYang Li, Liguang Liu, Jiacai Guo, Lap-Kei Lee, Fu Lee Wang, Zhenguo Yang. 2512-2516 [doi]
• Modeling Domains as Distributions with Uncertainty for Cross-Domain RecommendationXianghui Zhu, Mengqun Jin, Hengyu Zhang, Chang Meng, Daoxin Zhang, Xiu Li 0001. 2517-2521 [doi]
• Modeling Scholarly Collaboration and Temporal Dynamics in Citation Networks for Impact PredictionPengwei Yan, Yangyang Kang, Zhuoren Jiang, Kaisong Song, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu. 2522-2526 [doi]
• MoME: Mixture-of-Masked-Experts for Efficient Multi-Task RecommendationJiahui Xu, Lu Sun, Dengji Zhao. 2527-2531 [doi]
• Multi-intent-aware Session-based RecommendationMinjin Choi 0001, Hye-Young Kim, Hyunsouk Cho, Jongwuk Lee. 2532-2536 [doi]
• Multi-Layer Ranking with Large Language Models for News Source RecommendationWenJia Zhang, Lin Gui 0003, Rob Procter, Yulan He 0001. 2537-2542 [doi]
• Multi-view Mixed Attention for Contrastive Learning on HypergraphsJongsoo Lee, Dong-Kyu Chae. 2543-2547 [doi]
• Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive LearningZixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng. 2548-2552 [doi]
• Neural Click Models for Recommender SystemsMikhail Shirokikh, Ilya Shenbin, Anton Alekseev 0001, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko. 2553-2558 [doi]
• Old IR Methods Meet RAGOz Huly, Idan Pogrebinsky, David Carmel, Oren Kurland, Yoelle Maarek. 2559-2563 [doi]
• On Backbones and Training Regimes for Dense Retrieval in African LanguagesAkintunde Oladipo, Mofetoluwa Adeyemi, Jimmy Lin. 2564-2568 [doi]
• PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification ErrorsVikas Yadav, Zheng Tang, Vijay Srinivasan. 2569-2573 [doi]
• PLAID SHIRTTT for Large-Scale Streaming Dense RetrievalDawn J. Lawrie, Efsun Selin Kayi, Eugene Yang, James Mayfield, Douglas W. Oard. 2574-2578 [doi]
• Predicting Micro-video Popularity via Multi-modal Retrieval AugmentationTing Zhong, Jian Lang, Yifan Zhang, Zhangtao Cheng, Kunpeng Zhang, Fan Zhou 0002. 2579-2583 [doi]
• Prediction of the Realisation of an Information Need: An EEG StudyNiall McGuire, Yashar Moshfeghi. 2584-2588 [doi]
• PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept LinkingYuzhang Xie, Jiaying Lu 0001, Joyce Ho, Fadi B. Nahab, Xiao Hu 0002, Carl Yang 0001. 2589-2593 [doi]
• R-ODE: Ricci Curvature Tells When You Will be InformedLi Sun, Jingbin Hu, Mengjie Li, Hao Peng. 2594-2598 [doi]
• ReCODE: Modeling Repeat Consumption with Neural ODESunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu. 2599-2603 [doi]
• RLStop: A Reinforcement Learning Stopping Method for TARReem Bin Hezam, Mark Stevenson. 2604-2608 [doi]
• SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based RecommendationMuskan Gupta, Priyanka Gupta, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff. 2609-2613 [doi]
• Searching for Physical Documents in Archival RepositoriesTokinori Suzuki, Douglas W. Oard, Emi Ishita, Yoichi Tomiura. 2614-2618 [doi]
• Self-Explainable Next POI RecommendationKai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong Wang, Fan Zhou 0002. 2619-2623 [doi]
• Self-Referential Review: Exploring the Impact of Self-Reference Effect in ReviewKyusik Kim, Hyungwoo Song, Bongwon Suh. 2624-2628 [doi]
• SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set RetrievalZihao Li, Yuyi Ao, Jingrui He. 2629-2634 [doi]
• SPLATE: Sparse Late Interaction RetrievalThibault Formal, Stéphane Clinchant, Hervé Déjean, Carlos Lassance. 2635-2640 [doi]
• Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility MaximizationHamed Zamani, Michael Bendersky. 2641-2646 [doi]
• Synthetic Test Collections for Retrieval EvaluationHossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra 0001, Daniel Campos. 2647-2651 [doi]
• The Surprising Effectiveness of Rankers trained on Expanded QueriesAbhijit Anand, Venktesh V, Vinay Setty, Avishek Anand. 2652-2656 [doi]
• Timeline Summarization in the Era of LLMsDaivik Sojitra, Raghav Jain, Sriparna Saha 0001, Adam Jatowt, Manish Gupta. 2657-2661 [doi]
• TouchUp-G: Improving Feature Representation through Graph-Centric FinetuningJing Zhu, Xiang Song 0003, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos. 2662-2666 [doi]
• Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric ApproachesGuilherme Ramos, Mirko Marras, Ludovico Boratto. 2667-2671 [doi]
• Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast RecommendationJin-Duk Park, Yong-Min Shin, Won-Yong Shin. 2672-2676 [doi]
• Unbiased Validation of Technology-Assisted Review for eDiscoveryGordon V. Cormack, Maura R. Grossman, Andrew Harbison, Tom O'Halloran, Bronagh McManus. 2677-2681 [doi]
• Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text ClassificationLe Dai, Yu Yin, Enhong Chen, Hui Xiong. 2682-2686 [doi]
• USimAgent: Large Language Models for Simulating Search UsersErhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, Jiaxin Mao. 2687-2692 [doi]
• Using Large Language Models for Math Information RetrievalBehrooz Mansouri, Reihaneh Maarefdoust. 2693-2697 [doi]
• Weighted KL-Divergence for Document Ranking Model RefinementYingrui Yang, Yifan Qiao, Shanxiu He, Tao Yang. 2698-2702 [doi]
• What do Users Really Ask Large Language Models? An Initial Log Analysis of Google Bard Interactions in the WildJohanne R. Trippas, Sara Fahad Dawood Al Lawati, Joel Mackenzie, Luke Gallagher. 2703-2707 [doi]
• A Question-Answering Assistant over Personal Knowledge GraphLingyuan Liu, Huifang Du, Xiaolian Zhang, Mengying Guo, Haofen Wang, Meng Wang. 2708-2712 [doi]
• An Integrated Data Processing Framework for Pretraining Foundation ModelsYiding Sun, Feng Wang, Yutao Zhu 0001, Wayne Xin Zhao, Jiaxin Mao. 2713-2718 [doi]
• CLIP-Branches: Interactive Fine-Tuning for Text-Image RetrievalChristian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke. 2719-2723 [doi]
• ConvLogRecaller: Real-Time Conversational Lifelog RecallerYuan-Chi Lee, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen. 2724-2728 [doi]
• CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language ModelsPeiyuan Gong, Jiamian Li, Jiaxin Mao. 2729-2733 [doi]
• Detecting and Explaining Emotions in Video AdvertisementsJoachim Vanneste, Manisha Verma, Debasis Ganguly. 2734-2738 [doi]
• Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom CollectionEkaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon. 2739-2743 [doi]
• FactCheck Editor: Multilingual Text Editor with End-to-End fact-checkingVinay Setty. 2744-2748 [doi]
• Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented GenerationZhongliang Zhou, Jielu Zhang, Zihan Guan 0001, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li 0001, Gengchen Mai. 2749-2754 [doi]
• JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge GraphsWanying Ding, Manoj Cherukumalli, Santosh Chikoti, Vinay K. Chaudhri. 2755-2759 [doi]
• MACRec: A Multi-Agent Collaboration Framework for RecommendationZhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, Min Zhang. 2760-2764 [doi]
• MeMemo: On-device Retrieval Augmentation for Private and Personalized Text GenerationZijie J. Wang, Duen Horng Chau. 2765-2770 [doi]
• ModelGalaxy: A Versatile Model Retrieval PlatformWenling Zhang, Yixiao Li, Zhaotian Li, Hailong Sun 0001, Xiang Gao 0012, Xudong Liu 0001. 2771-2775 [doi]
• RAG-Ex: A Generic Framework for Explaining Retrieval Augmented GenerationViju Sudhi, Sinchana Ramakanth Bhat, Max Rudat, Roman Teucher. 2776-2780 [doi]
• ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and RefinementSaurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar, Huan Liu 0001. 2781-2785 [doi]
• Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State TrackingSara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner. 2786-2790 [doi]
• ScholarNodes: Applying Content-based Filtering to Recommend Interdisciplinary Communities within Scholarly Social NetworksMd Asaduzzaman Noor, Jason A. Clark, John W. Sheppard. 2791-2795 [doi]
• Shadowfax: Harnessing Textual Knowledge Base PopulationMaxime Prieur, Cédric du Mouza, Guillaume Gadek, Bruno Grilhères. 2796-2800 [doi]
• SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation TasksMichael Shliselberg, Ashkan Kazemi, Scott A. Hale, Shiri Dori-Hacohen. 2801-2805 [doi]
• TextData: Save What You Know and Find What You Don'tKevin Ros, Kedar Takwane, Ashwin Patil, Rakshana Jayaprakash, ChengXiang Zhai. 2806-2810 [doi]
• Towards Robust QA Evaluation via Open LLMsEhsan Kamalloo, Shivani Upadhyay, Jimmy Lin. 2811-2816 [doi]
• Truth-O-Meter: Handling Multiple Inconsistent Sources Repairing LLM HallucinationsBoris Galitsky, Anton Chernyavskiy, Dmitry I. Ilvovsky. 2817-2821 [doi]
• unKR: A Python Library for Uncertain Knowledge Graph Reasoning by Representation LearningJingting Wang, Tianxing Wu 0001, Shilin Chen, Yunchang Liu, Shutong Zhu, Wei Li, Jingyi Xu, Guilin Qi. 2822-2826 [doi]
• "Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real TimeScott Rome, Tianwen Chen, Raphael Tang, Luwei Zhou, Ferhan Ture. 2827-2831 [doi]
• A Field Guide to Automatic Evaluation of LLM-Generated SummariesTempest A. van Schaik, Brittany Pugh. 2832-2836 [doi]
• Synthetic Query Generation using Large Language Models for Virtual AssistantsSonal Sannigrahi, Thiago Fraga-Silva, Youssef Oualil, Christophe Van Gysel. 2837-2841 [doi]
• Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language ModelsVinay Setty. 2842-2846 [doi]
• LLMGR: Large Language Model-based Generative Retrieval in Alipay SearchChen Wei, Yixin Ji, Zeyuan Chen, Jia Xu, Zhongyi Liu. 2847-2851 [doi]
• Misinformation Mitigation Praxis: Lessons Learned and Future Directions from Co·InsightsScott A. Hale, Kiran Garimella, Shiri Dori-Hacohen. 2852-2854 [doi]
• Enhancing Baidu Multimodal Advertisement with Chinese Text-to-Image Generation via Bilingual Alignment and Caption SynthesisKang Zhao, Xinyu Zhao, Zhipeng Jin, Yi Yang, Wen Tao, Cong Han, Shuanglong Li, Lin Liu. 2855-2859 [doi]
• Relevance Feedback Method For Patent Searching Using Vector SubspacesSebastian Björkqvist. 2860-2864 [doi]
• A Study on Unsupervised Question and Answer Generation for Legal Information Retrieval and Precedents UnderstandingJohny Moreira, Altigran S. da Silva, Edleno Silva de Moura, Leandro Bezerra Marinho. 2865-2869 [doi]
• Homogeneous-listing-augmented Self-supervised Multimodal Product Title RefinementJiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu 0001. 2870-2874 [doi]
• Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking ModelEnqiang Xu, Yiming Qiu, Junyang Bai, Ping Zhang, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Mingming Li. 2875-2879 [doi]
• A Large-scale Offer Alignment Model for Partitioning Filtering and Matching Product OffersWenyu Huang, André Melo, Jeff Z. Pan. 2880-2884 [doi]
• ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain RecommendationChaoqun Hou, Yuanhang Zhou, Yi Cao, Tong Liu. 2885-2889 [doi]
• A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerceJinhan Liu, Qiyu Chen, Junjie Xu, Junjie Li, Baoli Li 0007, Sulong Xu. 2890-2894 [doi]
• A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce SearchHuimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu, Jinghe Hu. 2895-2899 [doi]
• Reflections on the Coding Ability of LLMs for Analyzing Market Research SurveysShi Zong, Santosh Kolagati, Amit Chaudhary, Josh Seltzer, Jimmy Lin. 2900-2904 [doi]
• Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question AnsweringZhentao Xu, Mark Jerome Cruz, Matthew Guevara, Tie Wang, Manasi Deshpande, Xiaofeng Wang, Zheng Li. 2905-2909 [doi]
• LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value ExtractionChenhao Fang, Xiaohan Li 0001, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan. 2910-2914 [doi]
• Interest Clock: Time Perception in Real-Time Streaming Recommendation SystemYongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Zuotao Liu. 2915-2919 [doi]
• GATS: Generative Audience Targeting System for Online AdvertisingCong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo. 2920-2924 [doi]
• Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation PoliciesChih-Wei Hsu, Martin Mladenov, Ofer Meshi, James Pine, Hubert Pham, Shane Li, Xujian Liang, Anton Polishko, Li Yang, Ben Scheetz, Craig Boutilier. 2925-2929 [doi]
• Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query ExpansionPau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman. 2930-2934 [doi]
• Monitoring the Evolution of Behavioural Embeddings in Social Media RecommendationSrijan Saket, Olivier Jeunen, Md. Danish Kalim. 2935-2939 [doi]
• Striking the Right Chord: A Comprehensive Approach to Amazon Music Search Spell CorrectionSiddharth Sharma, Shiyun Yang, Ajinkya Walimbe, Tarun Sharma, Joaquin Delgado. 2940-2944 [doi]
• A Semantic Search Engine for Helping Patients Find Doctors and Locations in a Large Healthcare OrganizationMayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed. 2945-2949 [doi]
• Clinical Trial Retrieval via Multi-grained Similarity LearningJunyu Luo 0001, Cheng Qian 0001, Lucas Glass, Fenglong Ma. 2950-2954 [doi]
• Embedding Based Deduplication in E-commerce AutoCompleteShaodan Zhai, Yuwei Chen, Yixue Li. 2955-2959 [doi]
• Question Suggestion for Conversational Shopping Assistants Using Product MetadataNikhita Vedula, Oleg Rokhlenko, Shervin Malmasi. 2960-2964 [doi]
• SLH-BIA: Short-Long Hawkes Process for Buy It Again Recommendations at ScaleRankyung Park, Amit Pande, David Relyea, Pushkar Chennu, Prathyusha Kanmanth Reddy. 2965-2969 [doi]
• Graph-Based Audience Expansion Model for Marketing CampaignsMd. Mostafizur Rahman, Daisuke Kikuta, Yu Hirate, Toyotaro Suzumura. 2970-2975 [doi]
• ScienceDirect Topic Pages: A Knowledge Base of Scientific Concepts Across Various Science DomainsArtemis Çapari, Hosein Azarbonyad, Georgios Tsatsaronis, Zubair Afzal, Judson Dunham. 2976-2980 [doi]
• Are Embeddings Enough? SIRIP Panel on the Future of Embeddings in Industry IR SystemsJon Degenhardt, Tracy Holloway King. 2981-2982 [doi]
• Empowering Large Language Models: Tool Learning for Real-World InteractionHongru Wang 0003, Yujia Qin, Yankai Lin, Jeff Z. Pan, Kam-Fai Wong. 2983-2986 [doi]
• High Recall Retrieval Via Technology-Assisted ReviewLenora Gray, David D. Lewis, Jeremy Pickens, Eugene Yang. 2987-2988 [doi]
• Large Language Model Powered Agents for Information RetrievalAn Zhang 0003, Yang Deng 0002, Yankai Lin, Xu Chen 0017, Ji-Rong Wen, Tat-Seng Chua. 2989-2992 [doi]
• Large Language Models for Recommendation: Past, Present, and FutureKeqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng. 2993-2996 [doi]
• Large Language Models for Tabular Data: Progresses and Future DirectionsHaoyu Dong 0001, Zhiruo Wang. 2997-3000 [doi]
• Preventing and Detecting Misinformation Generated by Large Language ModelsAiwei Liu, Qiang Sheng 0001, Xuming Hu. 3001-3004 [doi]
• Recent Advances in Generative Information RetrievalYubao Tang, Ruqing Zhang 0001, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke. 3005-3008 [doi]
• Robust Information RetrievalYu-An Liu, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke. 3009-3012 [doi]
• Search under Uncertainty: Cognitive Biases and Heuristics: A Tutorial on Testing, Mitigating and Accounting for Cognitive Biases in Search ExperimentsJiqun Liu, Leif Azzopardi. 3013-3016 [doi]
• Using and Evaluating Quantum Computing for Information Retrieval and Recommender SystemsMaurizio Ferrari Dacrema, Andrea Pasin, Paolo Cremonesi, Nicola Ferro 0001. 3017-3020 [doi]
• 5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024)Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci. 3021-3024 [doi]
• AgentIR: 1st Workshop on Agent-based Information RetrievalQingpeng Cai 0001, Xiangyu Zhao 0001, Ling Pan, Xin Xin 0003, Jin Huang 0010, Weinan Zhang 0001, Li Zhao 0007, Dawei Yin, Grace Hui Yang. 3025-3028 [doi]
• Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information RetrievalGabriel Bénédict, Ruqing Zhang 0001, Donald Metzler, Andrew Yates, Ziyan Jiang. 3029-3032 [doi]
• International Workshop on Algorithmic Bias in Search and Recommendation (BIAS)Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras. 3033-3035 [doi]
• IR-RAG @ SIGIR24: Information Retrieval's Role in RAG SystemsFabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini. 3036-3039 [doi]
• LLM4Eval: Large Language Model for Evaluation in IRHossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra 0001, Paul Thomas 0001, Emine Yilmaz. 3040-3043 [doi]
• MANILA24: SIGIR 2024 Workshop on Information Retrieval and Climate ImpactBart Van den Hurk, Maarten de Rijke, Flora D. Salim. 3044-3046 [doi]
• Multimodal Representation and Retrieval [MRR 2024]Xinliang Zhu, Arnab Dhua, Douglas Gray 0001, I. Zeki Yalniz, Tan Yu, Mohamed Elhoseiny, Bryan Plummer. 3047-3050 [doi]
• ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information RetrievalMaik Fröbe, Joel Mackenzie, Bhaskar Mitra 00001, Franco Maria Nardini, Martin Potthast. 3051-3054 [doi]
• SIGIR 2024 Workshop on eCommerce (ECOM24)Surya Kallumadi, Yubin Kim, Tracy Holloway King, Maarten de Rijke, Vamsi Salaka. 3055-3057 [doi]
• SIGIR 2024 Workshop on Simulations for Information Access (Sim4IA 2024)Philipp Schaer, Christin Katharina Kreutz, Krisztian Balog, Timo Breuer 0002, Norbert Fuhr. 3058-3061 [doi]
• The Second Workshop on Large Language Models for Individuals, Groups, and SocietyMichael Bendersky, Cheng Li 0012, Qiaozhu Mei, Vanessa Murdock 0001, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang 0001, Xingjian Zhang 0002. 3062-3064 [doi]
• Third Workshop on Personalization and Recommendations in Search (PaRiS)Sudarshan Lamkhede, Hamed Zamani, Moumita Bhattacharya, Hongning Wang. 3065-3069 [doi]
• A Predictive Framework for Query ReformulationReyhaneh Goli. 3070 [doi]
• Axiomatic Guidance for Efficient and Controlled Neural SearchAndrew Parry. 3071 [doi]
• GOLF: Goal-Oriented Long-term liFe tasks supported by human-AI collaborationBen Wang. 3072 [doi]
• Leveraging LLMs for Detecting and Modeling the Propagation of Misinformation in Social NetworksPayel Santra. 3073 [doi]
• Machine Generated Explanations and Their EvaluationEdward Richards. 3074 [doi]
• Mosaicing Prevention in DeclassificationNathaniel Rollings. 3075 [doi]
• Personalized Large Language Models through Parameter Efficient Fine-Tuning TechniquesMarco Braga. 3076 [doi]
• Query Performance Prediction for Conversational Search and BeyondChuan Meng. 3077 [doi]
• Towards a Framework for Legal Case RetrievalTebo Leburu-Dingalo. 3078 [doi]