Table of Contents

• From Connections to Conversions: Enhanced Product Knowledge Graph Embeddings for E-commerce RecommendationsAbhishek Kulkarni, Sumit Kumar Dutta, Sivaram Prasad Mudunuri, Kamiya Motwani, Rahul Ghosh. 1-8 [doi]
• An Adaptive Method Stabilizing Activations for Enhanced GeneralizationHyunseok Seung, Jaewoo Lee, Hyunsuk Ko. 9-16 [doi]
• Outlier Exposure in Visual Industrial Anomaly Detection - SurveyYong Shi 0001, Ruijie Xu, Zhiquan Qi. 17-24 [doi]
• Structure Aware Loss for Deep Unsupervised Industrial Image RegistrationYong Shi, Mengjin Lyu, Zhiquan Qi. 25-32 [doi]
• Detecting Multi-Modal Fake AIGC from the Perspective of Emotional Manipulation PurposeLinzi Zhang. 33-39 [doi]
• Urban Functional Zone Delineation Aided by Vision Foundation ModelsHeng Lian, Yi He 0007. 40-43 [doi]
• Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made DishesLujia Lv, Di Wu, Yangyi Xia, Jia Wu, Xiaojing Liu, Yi He. 44-50 [doi]
• Efficient and High-Quality Formal Verification for Decision Tree EnsemblesSaori Matsunaga, Genta Yoshimura. 51-58 [doi]
• PriSM: Privacy-Preserving Social Media Text Processing and Analytics FrameworkSakib Shahriar, Rozita Dara 0001. 59-66 [doi]
• Adaptable and Reliable Text Classification using Large Language ModelsZhiqiang Wang, Yiran Pang, YanBin Lin, Xingquan Zhu 0001. 67-74 [doi]
• Care-by-Design: Enhancing Customer Experience through Empathetic AI ChatbotsKadhim Hayawi, Sakib Shahriar. 75-81 [doi]
• Customer Engagement Journey Driven Propensity Model for Home Page CompositionVenkataramana Kini, Charlie Xu, Ravi Divvela, Unmesh Phadke, Fei Wang, Zhen Wen. 82-88 [doi]
• Mamba for Scalable and Efficient Personalized RecommendationsAndrew Starnes, Clayton G. Webster. 89-96 [doi]
• Leveraging Large Language Models for Predicting Stock Option Valuation and Financial Risk MitigationLester David Dsouza, Jamal Abdul Nasir, Muhammad Mohsin Kamal, Lena Connolly. 97-105 [doi]
• Metal Price Spike Prediction via a Neurosymbolic Ensemble ApproachNathaniel Lee, Noel Ngu, Harshdeep Singh Sahdev, Pramod Motaganahall, Al Mehdi Saadat Chowdhury, Bowen Xi, Paulo Shakarian. 106-110 [doi]
• Sentiment Score of Bloomberg Market Wraps with ChatGPTBaptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, Beatrice Guez, David Saltiel. 111-116 [doi]
• The Chain of Narrative Framework: Advancing Controllable Generation of Financial ThemesShuoling Liu, Gaoguo Jia, Dongsheng Gu, Liyuan Chen, Qiang Yang. 117-124 [doi]
• Sequential Block Elimination for Dynamic PricingShameem Puthiya Parambath, Saleh Abdullah M. Alfahad, Christos Anagnostopoulos, Kostas Kolomvatsos. 125-129 [doi]
• Multi-Agent Based Casual Triple Extraction For Factuality Evaluation Using Large Language ModelsJian Zhang, Zemin Xu, Lifang Liu, Zhanfeng Shen, Yue Cui, Yongdong Zhang 0001. 130-136 [doi]
• Context-Aware Offensive Meme Detection: A Multi-Modal Zero-Shot Approach with Caption-Enhanced ClassificationFaseela Abdullakutty, Somaya Al-Máadeed, Usman Naseem. 137-145 [doi]
• Fine-Tuning LLMs for Reliable Medical Question-Answering ServicesAli Anaissi, Ali Braytee, Junaid Akram. 146-153 [doi]
• Bengali Cyberbullying: Detection, Categorization, and Gender Bias AnalysisMD. Mithun Hossain, Md Shakil Hossain, Sudipto Chaki, Md. Saifur Rahman, Mohammad Ali Moni. 154-163 [doi]
• Optimized Biomedical Question-Answering Services with LLM and Multi-BERT IntegrationCheng Qian, Xianglong Shi, Shanshan Yao, Yichen Liu, Fengming Zhou, Zishu Zhang, Junaid Akram, Ali Braytee, Ali Anaissi. 164-173 [doi]
• UMML: Layout-aware Text-Image Fusion for Unified Multilingual Multimodal LearningHariram Veeramani, Surendrabikram Thapa, Mohammad Salman, Mohammad Ali Moni, Usman Naseem. 174-182 [doi]
• Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise FusionYinghui Zhang, Tailin Chen, Yuchen Zhang, Zeyu Fu. 183-190 [doi]
• A New Index for Computer Science Conferences and Its Applications: The S-IndexSharareh Alipour, Sobhan Ebrahimi. 191-196 [doi]
• Incremental Gaussian Mixture Clustering for Data StreamsAniket Bhanderi, Raj Bhatnagar. 197-204 [doi]
• Non-stationary Imbalanced Data Stream Classification with Weighted One-Class EnsembleJakub Klikowski, Michal Wozniak 0001. 205-212 [doi]
• Classification of Recurrent Concepts with Metafeature-based Model SelectionJoanna Komorniczak, Pawel Ksieniewicz. 213-220 [doi]
• Semi-Supervised Learning Trumps Active Learning in Cold-Starting Netflow-Based AI Network Intrusion Detection Systems on Scarce and Difficult DataMarek Pawlicki, Aleksandra Pawlicka, Ryszard S. Choras, Rafal Kozik, Michal Choras. 221-228 [doi]
• Online Adaptive Local Interpretable Tree Ensembles for Time Series ForecastingAmal Saadallah. 229-237 [doi]
• Changing Lineup Classifier Ensemble for Drifting Imbalanced Data StreamsWeronika Wegier, Maciej Maczynski, Michal Wozniak 0001. 238-245 [doi]
• Cross-Modality Clustering-based Self-Labeling for Multimodal Data ClassificationPawel Zyblewski, Leandro L. Minku. 246-253 [doi]
• Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering DetectionMarco Di Gennaro, Francesco Panebianco, Marco Pianta, Stefano Zanero, Michele Carminati. 254-261 [doi]
• GAN+ABM to Simulate Suspicious Money Laundering TrajectoriesOscar M. Granados, Olmer Garcia-Bedoya, Edwin González. 262-269 [doi]
• Towards Transparent AI-Powered Cybersecurity in Financial Systems: The Deployment of Federated Learning and Explainable AI in the CaixaBank pilotAikaterini Karampasi, Panagiotis I. Radoglou-Grammatikis, Marek Pawlicki, Ryszard Choras, Ramon Martín de Pozuelo, Panagiotis G. Sarigiannidis, Damian Puchalski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras. 270-277 [doi]
• Anomaly Detection in Financial Data Using GA-Optimized MLP ModelsIvan P. Malashin, Igor S. Masich, Aleksei S. Borodulin, Vladimir Viktorovich Bukhtoyarov, Vladimir A. Nelyub, Vadim Tynchenko. 278-285 [doi]
• Multi-task CNN Behavioral Embedding Model For Transaction Fraud DetectionBo Qu, Zhurong Wang, Minghao Gu, Daisuke Yagi, Yang Zhao, Yinan Shan, Frank Zahradnik. 286-292 [doi]
• Emotion Retrieval Using Generative Models: An Exploratory StudyM. Luqman Jamil, Sebastião Pais, Andrés Caro, João Cordeiro. 293-299 [doi]
• Foundation Models for Course Equivalency EvaluationMark Kim, Arno Puder, Craig Hayward, Hui Yang 0002. 300-306 [doi]
• SRSA: A Cost-Efficient Strategy-Router Search Agent for Real-world Human-Machine InteractionsYaqi Wang, Haipei Xu. 307-316 [doi]
• Do good scores imply good embeddings? On the necessity of inspecting manifold learning evaluation results by multiple criteriaDaniyal Kazempour, Claudius Zelenka, Atakan Kara, Andreas Lohrer, Peer Kröger. 317-324 [doi]
• Not the same, yet similar? - On commonalities and differences between VQPCA and ORCLUSDaniyal Kazempour, Claudius Zelenka, Artjom Mukhamedov, Peer Kröger. 325-332 [doi]
• Data Complexity via Random ProjectionYamonporn Thummanusarn, Ata Kabán. 333-340 [doi]
• Resource Efficient Delaunay Triangulation for Higher Dimensional Topological StudiesAnuarag Yadav, Rohit P. Singh, Philip A. Wilsey. 341-348 [doi]
• Prediction Is NOT Classification: On Formulation and Evaluation of Hyperedge PredictionTaehyung Yu, Soo Yong Lee, Hyunjin Hwang, Kijung Shin. 349-356 [doi]
• Trust-based positional forgery detection in AI-driven autonomous intersection management using hybrid graph-based reinforcement learningShajina Anand. 357-363 [doi]
• Real-world Application Facilitating Trustworthy Human-Robot Collaboration with Innovative Explainable Neuro-symbolic ReasoningRafal Kozik, Szymon Bus, Grzegorz Gawdzik, Marek Pawlicki, Aleksandra Pawlicka, Michal Choras. 364-371 [doi]
• Energy-efficiency Management Framework of a Ship based on Data Classification TechniqueTien Anh Tran, Sathishkumar Veerappampalayam Easwaramoorthy. 372-377 [doi]
• GDRNet: A Novel Graph Neural Network Architecture for Diabetic Retinopathy DetectionShahed Hossain, Md. Zahid Hasan, Risul Islam Jim, Taslima Ferdaus Shuva, Md. Tanvir Rahman, Abdullah Al-Mamun Bulbul, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni. 378-387 [doi]
• CardioNetFusion: A Deep Learning and Explainable AI Integrated System for Cardiovascular Disease DetectionGunasekaran Raja, Selvam Essaky, Surya Raj Muthu, Babith Sarish Suresh, Jaehyuk Cho, Seohyun Yoo, Sathishkumar Veerappampalayam Easwaramoorthy. 388-395 [doi]
• Smart Contract-Driven Pandemic Management Using Blockchain Technology and Artificial IntelligenceSathishkumar Veerappampalayam Easwaramoorthy, Neelakandan Subramani, Angela Siew-Hoong Lee. 396-404 [doi]
• Accessible Health Screening Using Body Fat Estimation by Image SegmentationZhipeng Yin, Sameeksha Agarwal, Ayesha Kashif, Matthew Gonzalez, Zichong Wang, Suqing Liu, Zhen Liu, Yanzhao Wu 0001, Ian Stockwell, Weifeng Xu, Puqing Jiang, Xingyu Zhang, Wenbin Zhang. 405-414 [doi]
• Multilingual Sentiment Analysis for Investigating Perceptions of GlobalizationAnagha Ani, Erik Cambria. 415-422 [doi]
• Into the Unknown: Self-Learning Large Language ModelsTeddy Ferdinan, Jan Kocon, Przemyslaw Kazienko. 423-432 [doi]
• Automating Maritime Risk Data Collection and Identification Leveraging Large Language ModelsDonghao Huang, Xiuju Fu, Xiaofeng Yin, Haibo Pen, Zhaoxia Wang 0001. 433-439 [doi]
• A Silent Voice: A Bilingual Longitudinal Analysis of Mahsa Amini's Movement TweetSadegh Jafari, Mahsa Farsouni Nezhad, Melika Nobakhtian, Arash Chaichi Mellatshahi, Amirmohammad Kazemeini. 440-444 [doi]
• Converting Vocal Performances into Sheet Music Leveraging Large Language ModelsJinjing Jiang, Nicole Anne Teo Huiying, Haibo Pen, Seng-Beng Ho, Zhaoxia Wang 0001. 445-452 [doi]
• Comprehensive Sentiment Analysis of Polish Book Reviews Using Large and Small Language ModelsAgnieszka Karlinska, Piotr Milkowski, Paulina Czwordon-Lis, Bartlomiej Koptyra, Jan Kocon. 453-462 [doi]
• Small Language Models for Emotion Recognition in Polish Stock Market Investor OpinionsBartlomiej Koptyra, Marcin Oleksy, Ewa Dzieciol, Jan Kocon. 463-470 [doi]
• Investigating the Role of Metaphors in Human-AI Conversation and EngagementPragati Maheshwary, Qiawen Liu, Rui Mao 0010. 471-478 [doi]
• Sentiment Analysis on Climate Change for Sustainable InvestmentKeane Ong, Rui Mao 0010, Deeksha Varshney, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo. 479-486 [doi]
• Information Extraction: Unstructured to Structured for ESG ReportsZounachuan Sun, Ranjan Satapathy, Daixue Guo, Bo Li, Xinyuan Liu, Yangchen Zhang, Cheng-Ann Tan, Ricardo Shirota Filho, Rick Siow Mong Goh. 487-495 [doi]
• Evaluating Vision Language Models in Detecting Learning EngagementJayant Teotia, Xulang Zhang, Rui Mao 0010, Erik Cambria. 496-502 [doi]
• Neurosymbolic AI for Mining Key Aspects of Socially Responsible InvestingWihan van der Heever, Ranjan Satapathy, Erik Cambria, Rick Siow Mong Goh. 503-510 [doi]
• Personalized Large Language ModelsStanislaw Wozniak, Bartlomiej Koptyra, Arkadiusz Janz, Przemyslaw Kazienko, Jan Kocon. 511-520 [doi]
• Understanding the Hidden State of Language Models from the Perspective of Sentiment AnalysisKaicheng Xue, Xulang Zhang, Rui Mao 0010, Erik Cambria. 521-528 [doi]
• Optimizing MLP Network Structure for Classification Problems Using PSO and Dominating Vertex SetInes Hadjadji, Nour El Islem Karabadji, Hassina Seridi, Naouel Manaa, Mohamed Elati, Wajdi Dhifli. 529-534 [doi]
• Trust in Machine Learning Models: Global and Individual AssessmentSimão Paredes, Teresa Rocha, Sónia Sousa, Jorge Henriques, José Sousa, Lino Gonçalves. 535-542 [doi]
• Enhancing Clinical Trust: The Role of AI Explainability in Transforming HealthcareAleksandra Pawlicka, Marek Pawlicki, Dagmara Jaroszewska-Choras, Rafal Kozik, Michal Choras. 543-549 [doi]
• Pointwise reliability metrics for machine learning model predictions: three different approachesJosé Sousa, Simão Paredes, Jorge Henriques, Lino Gonçalves, Teresa Rocha. 550-555 [doi]
• Pointwise Reliability Assessment: Density vs. Local Fit MethodsJoão Trovão, Jorge Henriques, Lorena Petrella, Madalena Trindade, João Loureiro. 556-563 [doi]
• Reliability assessment of models for risk stratification: A knowledge-based approachZhan Zhao, Paulo Gil, João Loureiro, Lorena Petrella, Jorge Henriques. 564-571 [doi]
• Generative-Graph Method for Project Duration EstimationSandeep Chougule, Vaishali Sadaphal. 572-579 [doi]
• A Comparative Analysis of User-Generated Content Across Gaming Platforms Using Deep Learning-Based Topic ModelingRobert B. Gommerman, Eiji Motohashi. 580-587 [doi]
• Prediction and Interpretation of Vacancy Duration in Rental Properties Using Geographic DataGenki Katsumata, Eiji Motohashi. 588-594 [doi]
• Data Augmentation Using Generative AI In Tomato Leaf Lesion Classification ProblemsMasaya Oirase, Eisuke Kita. 595-599 [doi]
• Mining patterns for proactive management of procure-to-pay exceptionsSatya Narayana Samudrala, Uday Chandra Bhookya, Maitreya Natu. 600-605 [doi]
• A Data-Driven Approach for Ancillary Bundle Recommendation to Segmented UsersAakash Swami, Narendhar Gugulothu, Tirumala V, Sanjay Bhat. 606-612 [doi]
• Temporal Data Mining in AI-based Patient Navigation ServiceShusaku Tsumoto, Tomohiro Kimura, Shoji Hirano, Katsutoshi Yada. 613-621 [doi]
• Covid-19 and Multichannel CustomersKatsutoshi Yada, Tomoya Ikeda, Genki Yoshida, Takahiro Hakozaki, Ken Matsumoto, Shusaku Tsumoto. 622-625 [doi]
• Discrimination Of Brown Spot Leaf Disease From RGB Data Of ImageNao Yuasa, Daisuke Minamisawa, Ayana Takai, Masaya Oirase, Eisuke Kita. 626-631 [doi]
• Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion DetectionMaraz Mia, Mir Mehedi A. Pritom, Tariqul Islam 0001, Kamrul Hasan 0008. 632-641 [doi]
• Enhancing IoT Intrusion Detection through Vertical Federated Learning and Latent Space MappingKrishna Yadav, Harshit Chaubey, Rajesh Sah. 642-649 [doi]
• Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep LearningYiWei Zhang, Rouzbeh Behnia, Attila A. Yavuz, Reza Ebrahimi, Elisa Bertino. 650-656 [doi]
• Anomaly Detection and Interpretation from Tabular Data Using Transformer ArchitectureHajar Homayouni, Hamed Aghayarzadeh, Indrakshi Ray, Hossein Shirazi. 657-664 [doi]
• SCREADER: Prompting Large Language Models to Interpret scRNA-seq DataCong Li, Qingqing Long, Yuanchun Zhou, Meng Xiao. 665-672 [doi]
• Heisenberg Algebra Implementation to AAG Algorithm for Secure Data Transfer in IoT NetworksJolanta Mizera-Pietraszko, Jolanta Tancula. 673-681 [doi]
• Formal Classifier of a Rhythmic Structure Model for Inference about Linguistic Text PropertiesJolanta Mizera-Pietraszko, Jolanta Tancula. 682-687 [doi]
• MRDiff: Time Series Anomaly Detection Using Multi-level Reconstruction DiffusionDagyeong Na, Junseok Kwon. 688-695 [doi]
• On the classification of weather based on the production of photovoltaic installationsPawel Parczyk, Tobiasz Puslecki, Robert Burduk. 696-703 [doi]
• CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery PlatformBeomsu Kim, Sangbum Kim, Minchan Kim, Joonyoung Yi, Sungjoo Ha, Suhyun Lee, Youngsoo Lee, Gihoon Yeom, Buru Chang, Gihun Lee. 704-713 [doi]
• Measuring the user experience on network assuranceWutao Wei, Sara Isaac, Alex Ting, Yuanqi Wang, Ke Zhu, Sophine Zhang. 714-717 [doi]
• Cross-tissue, Cross-platform Prediction and Validation of Toxicogenomics Profiles with Deep Learning and ClusteringTrang Do, Richard Kim, Scott Auerbach, Warren Casey, Andrew Rooney, Guojing Cong. 718-725 [doi]
• Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of ClustersCollin Leiber, Niklas Strauß, Matthias Schubert, Thomas Seidl 0001. 726-733 [doi]
• Unsupervised Graph-Based Anomaly Detection Using Variational AutoencoderZeinab Sadat Sadrolhefazi, Hadi Zare 0001, Seyyed Amir Asghari, Parham Moradi, Mahdi Jalili. 734-741 [doi]
• Finite Mixture Models for an underlying zero-one inflated Beta DistributionCédric Noel, Jang Schiltz. 742-747 [doi]
• A New Approach Towards Identification of Individuals Belonging to Different Subpopulations Using Machine Learning Models and CLC DataMalgorzata Charytanowicz, Kajetan Perzanowski, Maciej Januszczak, Aleksandra Woloszyn-Galeza, Maria Sobczuk, Piotr Kulczycki. 748-755 [doi]
• Landslide-as-a-Service: Standards-driven Landslide Mapping Framework using Machine Learning and GeoDataCubeChetan Mahajan, Rajat C. Shinde, Gérald Fenoy, Surya S. Durbha. 756-761 [doi]
• Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model RefinementJiechao Gao, Yuangang Li 0002, Syeda Faiza Ahmed. 762-769 [doi]
• Neighborhood Spatio-temporal Self-Attention for Crowd Flow PredictionSohei Kodama, Shin Ando. 770-777 [doi]
• Sirius: A Density-based Colocation Mining Framework for Sets of Continuous Spatial VariablesMd Mahin, Aparna Budhavarapu, Karima Elgarroussi, Ernst L. Leiss, Christoph F. Eick. 778-785 [doi]
• A Deep Learning Based Cloud Imputation FrameworkHarshitaa Yarramsetti, Kritika Javali, Mukund Logasundar, Richard Li, Ranga Raju Vatsavai. 786-793 [doi]
• Deep Entire Space Cross Networks for Estimating Treatment Effect Under Unmeasured ConfoundingHan Qiao. 794-799 [doi]
• 3-InvRL: Multimedia Model Merging Invariant Representation Learning for RecommendationXinghang Hu. 800-804 [doi]
• Learning Feasible Causal Algorithmic Recourse without Prior StructureHaotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Long Lan, Wenjing Yang 0002, Peng Cui. 805-813 [doi]
• Projection Pursuit Based Density Ratio EstimationMeilin Wang, Wei Huang, Zheng Zhang. 814-819 [doi]
• Learning Invariant Features on Graphs by Disentangling Spurious FeaturesTianjun Yao, Yongqiang Shen, Zhiqiang Shen, Kun Zhang. 820-827 [doi]
• UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased RecommendationChunyuan Zheng, Taojun Hu, Chuan Zhou 0013, Xiao-Hua Zhou. 828-832 [doi]
• Beyond Overall Accuracy: Exploring Per-Class Performance Reveals Robustness and Safety Gaps in Deep ModelsKamil Szyc, Tomasz Walkowiak, Henryk Maciejewski. 833-841 [doi]
• Combining Active Learning and Self-Labeling for Deep Learning from Data StreamsJan Wasilewski, Michal Wozniak 0001, Bartosz Krawczyk. 842-849 [doi]
• Detecting gene regulatory network rewiring as changes in marker regulatory associations using only single-cell gene expression dataLisa Chabrier, Anton Crombach, Sergio Peignier, Christophe Rigotti. 850-858 [doi]
• Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay PredictionAkash Choudhuri, Philip Polgreen, Alberto M. Segre, Bijaya Adhikari. 859-866 [doi]
• Structural Breakpoint Detection in Noisy Time Series Using an Augmented Matrix Profile IndexMarco Fuchs. 867-876 [doi]
• Automated Detection and Quantitative Assessment of Extranodal Extension in Lymph Node Breast Tumors Using Dual-Tier Deep Learning and Density-Based Contour AlgorithmsZhichao Yu, Simon James Fong, LiMing Zhang, Tengyue Li, Xin Zhang. 877-886 [doi]
• VIA AI: Reliable Deep Reinforcement Learning for Traffic Signal ControlMatvey Gerasyov, Dmitrii Kiselev, Maxim Beketov, Ilya Makarov. 887-890 [doi]
• BiTSA: Leveraging Time Series Foundation Model for Building Energy AnalyticsXiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim. 891-894 [doi]
• Go-Kart Racing Simulator for Reinforcement Learning with Augmented Sim2Real AdaptationIldar Nurgaliev, Andre Kuzminykh, Andrey V. Savchenko, Ilya Makarov. 895-898 [doi]
• Video-based learning of sign languages: one pre-train to fit them allMaxim Novopoltsev, Aleksandr Tulenkov, Ruslan Murtazin, Roman Akhidov, Iuliia Zemtsova, Emilia Bojarskaja, Daria Bondarenko, Andrey Savchenko, Ilya Makarov. 899-902 [doi]
• LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative FilteringNikita Severin, Aleksei Ziablitsev, Yulia Savelyeva, Valeriy Tashchilin, Ivan Bulychev, Mikhail Yushkov, Artem Kushneruk, Amaliya Zaryvnykh, Dmitrii Kiselev, Andrey Savchenko, Ilya Makarov. 903-906 [doi]
• ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token GranularityTong Xie, Hanzhi Zhang, Shaozhou Wang, Yuwei Wan, Imran Razzak, Chunyu Kit, Wenjie Zhang 0001, Bram Hoex. 907-911 [doi]