Techie: Tackling Video Prefetching at Edge Networks as POMDP Via an Intrinsically Motivated RL AgentNawras Alkassab, Chin-Tser Huang, Tania Lorido Botran
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational RecommendationGuojia An, Jie Zou, Jiwei Wei, Chaoning Zhang, Fuming Sun, Yang Yang
Question-Answer Extraction from Scientific Articles Using Knowledge Graphs and Large Language ModelsHosein Azarbonyad, Zi Long Zhu, Georgios Cheirmpos, Zubair Afzal, Vikrant Yadav, George Tsatsaronis
Unconstrained Monotonic Calibration of Predictions in Deep Ranking SystemsYimeng Bai, Shunyu Zhang, Yang Zhang, Hu Liu, Wentian Bao, Enyun Yu, Fuli Feng, Wenwu Ou
Combining Evidence and Reasoning for Biomedical Fact-CheckingMariano Barone, Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato
IGP: Efficient Multi-Vector Retrieval via Proximity Graph IndexZheng Bian, Man Lung Yiu, Bo Tang
A Generalised and Adaptable Reinforcement Learning Stopping MethodReem Bin-Hezam, Mark Stevenson
A New HOPE: Domain-agnostic Automatic Evaluation of Text ChunkingHenrik Bradland, Morten Goodwin, Per-Arne Andersen, Alexander S. Nossum, Aditya Gupta
Efficient Re-ranking with Cross-encoders via Early ExitFrancesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani, Alberto Veneri
A Knowledge Extraction Framework on Cyber Threat Reports with Enhanced Security ProfilesYongxin Cai, Jing Qiu, Fan Zhang, Qiang Li, Lei Chen
Exploring Training and Inference Scaling Laws in Generative RetrievalHongru Cai, Yongqi Li, Ruifeng Yuan, Wang Wenjie, Zhen Zhang, Wenjie Li, Tat-Seng Chua
Agentic Feedback Loop Modeling Improves Recommendation and User SimulationShihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He
Unleashing the Potential of Diffusion Models Towards Diversified Sequential RecommendationsZhuo Cai, Shoujin Wang, Victor W. Chu, Usman Naseem, Yang Wang, Fang Chen
General Neural Embedding for Sequence Distance ApproximationZhihao Chang, Ding Wang, Xiu Tang, Kingsum Chow, Jianwei Yin
QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-RankingShubham Chatterjee, Jeff Dalton
Pre-training for Unlearning: A Model-agnostic Paradigm for Recommendation UnlearningGuoxuan Chen, Lianghao Xia, Chao Huang
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based RecommendationJinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji
VoRec: Enhancing Recommendation with Voronoi Diagram in Hyperbolic SpaceYong Chen, Li Li, Wei Peng, Songzhi Su
Collaborative Signal-guided Diffusion Models for RecommendationMengru Chen, Lianghao Xia, Yong Xu, Ronghua Luo
Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product SearchTingyang Chen, Cong Fu, Xiangyu Ke, Yunjun Gao, Ni Yabo, Anxiang Zeng
DePro: Domain Ensemble using Decoupled Prompts for Universal Cross-Domain RetrievalKaixiang Chen, Pengfei Fang, Hui Xue
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, Chuan Shi
ARC: Approximate Relevant Clip Query in Large-Scale Video RepositoriesYue Chen, Yinan Jing, Ziqiang Yu, Xiaohui Yu, Zhenying He, Kai Zhang, X. Sean Wang
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
Comprehending Knowledge Graphs with Large Language Models for Recommender SystemsZiqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma
CIRAG: Retrieval-Augmented Language Model with Collective IntelligenceChenxu Cui, Haihui Fan, Jinchao Zhang, Lin Shen, Bo Li, Weiping Wang
Mitigating Source Bias with LLM AlignmentSunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential RecommendationYizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
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, Marcos André Gonçalves
Flow-guided Fine-Tuning for Diverse LLM-based RecommendersChongming Gao, Mengyao Gao, Chenxiao Fan, Shuai Yuan, Wentao Shi, Xiangnan He
Generative Auto-Bidding with Value-Guided ExplorationsJingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao
Social Context-Aware Community-Level Propagation PredictionJinfei Gao, Xiao Wang, Tian Gan, Jianhua Yin, Chuanchen Luo, Liqiang Nie
Information Retrieval in the Age of Generative AI: The RGB ModelMichele Garetto, Alessandro Cornacchia, Franco Galante, Emilio Leonardi, Alessandro Nordio, Alberto Tarable
The Viability of Crowdsourcing for RAG EvaluationLukas Gienapp, Tim Hagen, Maik Fröbe, Matthias Hagen, Benno Stein, Martin Potthast, Harrisen Scells
Measuring Text-Image Retrieval Fairness with Synthetic DataLluis Gomez
Enhancing New-item Fairness in Dynamic Recommender SystemsHuizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang
X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential RecommendationGuy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach
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
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving RecommendationMingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu
Short Video Segment-level User Dynamic Interests Modeling in Personalized RecommendationZhiyu He, Zhixin Ling, Jiayu Li, Zhiqiang Guo, Weizhi Ma, Xinchen Luo, Min Zhang, Guorui Zhou
ULP: Unlabeled Location Prediction from TextXi He, Yilin Liu, Yijie Sun, Xin Xing, Xingyu Lu, Yanbing Liu
Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy PlanningTao He, Lizi Liao, Ming Liu, Bing Qin
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
CLIP-AdaM: Adapting Multi-view CLIP for Open-set 3D Object RetrievalXinwei He, Liang Ma, Yuxuan Cheng, Zhichuan Wang, Yulong Wang, Yang Zhou, Xiang Bai
Explaining Ranking Decisions through a Listwise SHAP ExplainerMaria Heuss, Maarten de Rijke, Avishek Anand
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language EmbeddingsGuoqing Hu, An Zhang, Shuo Liu, Zhibo Cai, Xun Yang, Xiang Wang
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMsYuntong Hu, Zhihan Lei, Zhongjie Dai, Allen Zhang, Abhinav Angirekula, Zheng Zhang, Liang Zhao
Unified Category and Style Generalization for Instance-Level Sketch RetrievalZechao Hu, Zhengwei Yang, Hao Li, Yixiong Zou, Fengbin Zhu, Zheng Wang
LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News RecommendationBeizhe Hu, Qiang Sheng, Juan Cao, Yang Li, Danding Wang
Predicting RAG Performance for Text CompletionOz Huly, David Carmel, Oren Kurland
MELON: Learning Multi-Aspect Modality Preferences for Accurate Multimedia RecommendationDongho Jeong, Taeri Kim, Donghyeon Cho, Sang-Wook Kim
Reason-to-Rank: Distilling Direct and Comparative Reasoning from Large Language Models for Document RerankingYuelyu Ji, Zhuochun Li, Rui Meng, Daqing He
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel OptimizationYang Jiao, Xiaodong Wang, Kai Yang
From Vector Representations to Neural Representations: Learned Query-Specific Relevance FunctionsJulian Killingback, Hansi Zeng, Hamed Zamani
Disentangling and Generating Modalities for Recommendation in Missing Modality ScenariosJiwan Kim, Hong-Seok Kang, Sein Kim, Kibum Kim, Chanyoung Park
DIFF: Dual Side-Information Filtering and Fusion for Sequential RecommendationHye-young Kim, Minjin Choi, Sunkyung Lee, Ilwoong Baek, Jongwuk Lee
Graph Spectral Filtering with Chebyshev Interpolation for RecommendationChanwoo Kim, Jinkyu Sung, Yebonn Han, Joonseok Lee
Personalized Preference Reasoning with Large Language Models for Accurate and Explainable RecommendationJieyong Kim, Hyunseo Kim, Hyunjin Cho, Seongku Kang, Buru Chang, Jinyoung Yeo, Dongha Lee
Learning to Rank with Variable Result Presentation LengthsNorman Knyazev, Harrie Oosterhuis
DAR: Dimension-Adaptive Recommendation with Multi-Granular Noise ControlRiwei Lai, Li Chen, Rui Chen, Chi Zhang
Boosting Discriminability for Robust Multimodal Entity Linking with Visual Modality MissingMingrui Lao, Zheng Li, Yanming Guo, Xueyi Zhang, Siqi Cai, Zhaoyun Ding, Haizhou Li
Seeing Beyond Hallucinations: LLM-based Compositional Information Extraction for Multimodal ReasoningXinwei Li, Li Lin, Shuai Wang, Hanqian Wu
Continual Origin Tracing of LLM-Generated TextHaoran Li, Quan Wang
Generative Meta-Learning for Zero-Shot Relation Triplet ExtractionWanli Li, Tieyun Qian, Yi Song, Zeyu Zhang, Jiawei Li, Zhuang Chen, Lixin Zou
Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence RecommendationFei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation ApproachHanzhe Li, Dazhong Shen, Chao Wang, Yuting Liu, Jingjing Gu
Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken GenerationYongqi Li, Hongru Cai, Wang Wenjie, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua
Incorporating Communication Style and Interaction of Speakers for Sarcasm Explanation in DialogueYuqing Li, Wenyuan Zhang, Zheng Lin, Guoxuan Ding, Weiping Wang
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense RetrievalYongkang Li, Panagiotis Eustratiadis, Simon Lupart, Evangelos Kanoulas
CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain RecommendationHanyu Li, Jiayu Li, Weizhi Ma, Peijie Sun, Haiyang Wu, Jingwen Wang, Yang Yuekui, Min Zhang, Shaoping Ma
Rethinking Pseudo Word Learning in Zero-Shot Composed Image Retrieval: From an Object-Aware PerspectiveZhe Li, Lei Zhang, Kun Zhang, Weidong Chen, Yongdong Zhang, Zhendong Mao
Heterogeneous Graph Embedding Made More PracticalFangfang Li, Huihui Zhang, Wei Li, Wei Wu
How Users Interact with Generative Information Retrieval Systems: A Study of User Behavior and Search ExperienceYidong Liang, Zhijing Wu, Fan Zhang, Dandan Song, Heyan Huang
Multi-Grained Patch Training for Efficient LLM-based RecommendationJiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He
Mitigating Distribution Shifts in Sequential Recommendation: An Invariance PerspectiveYuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu
Towards Interest Drift-driven User Representation Learning in Sequential RecommendationXiaolin Lin, Weike Pan, Zhong Ming
BotBR: Social Bot Detection with Balanced Feature Fusion and Reliability-Enhanced Graph LearningQilong Lin, Jingya Zhou
Order-agnostic Identifier for Large Language Model-based Generative RecommendationXinyu Lin, Haihan Shi, Wang Wenjie, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua
CSRec: Rethinking Sequential Recommendation from A Causal Perspective.Xiaoyu Liu, Jiaxin Yuan, Yuhang Zhou, Jingling Li, Furong Huang, Wei Ai
Gaming for Boundary: Elastic Localization for Frame-Supervised Video Moment RetrievalHao Liu, Yupeng Hu, Kun Wang, Yinwei Wei, Liqiang Nie
Generative Recommender with End-to-End Learnable Item TokenizationEnze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao
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
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential RecommendationQidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian
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
On the Scaling of Robustness and Effectiveness in Dense RetrievalYu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web BrowsersMugeng Liu, Siqi Zhong, Qi Yang, Yudong Han, Xuanzhe Liu, Yun Ma
Queries Are Not Alone: Clustering Text Embeddings for Video SearchPeiyang Liu, Xi Wang, Ziqiang Cui, Wei Ye
Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context InformationKehan Long, Shasha Li, Chen Xu, Jintao Tang, Ting Wang
Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image RetrievalZijun Long, Kangheng Liang, Gerardo Aragon-Camarasa, Richard Mccreadie, Paul Henderson
Is Having Rationales Enough? Rethinking Knowledge Enhancement for Hateful Meme DetectionJunyu Lu, Bo Xu, Xiaokun Zhang, Haohao Zhu, Kaichun Wang, Liang Yang, Hongfei Lin
CDC: Causal Domain Clustering for Multi-Domain RecommendationHuishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang
Enhancing Conversational Search with LLMs Contrastive Distillation on Sparse RetrievalSimon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas
Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful RecommendationsZihan Ma, Minnan Luo, Yiran Hao, Zeng Zhi, Xiangzheng Kong, Jiahao Wang
Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive TestingHaiping Ma, Weiyuan Zhou, Xiaoshan Yu, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang
LUSIFER: Language Universal Space Integration for Enhanced Representation in Multilingual Text Embedding ModelsHieu Man, Nghia Trung Ngo, Viet Dac Lai, Ryan Rossi, Franck Dernoncourt, Thien Huu Nguyen
Addressing Missing Data Issue for Diffusion-based RecommendationWenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He
Towards Brain Passage Retrieval: An Investigation of EEG Query RepresentationsNiall McGuire, Yashar Moshfeghi
Lightweight and Direct Document Relevance Optimization for Generative Information RetrievalKidist Amde Mekonnen, Yubao Tang, Maarten de Rijke
Bridging the Gap: From Ad-hoc to Proactive Search in ConversationsChuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai
Fairness-Aware Classification over Incomplete DataXiaoye Miao, Lei Qiang, Guilin Huang, Yangyang Wu, Jianwei Yin
Zero-Shot Reranking with Large Language Models and Precomputed Ranking Features: Opportunities and LimitationsMaria Movin, Claudia Hauff
Meta-Guided Adaptive Weight Learner for Noisy CorrespondenceChenyu Mu, Erkun Yang, Cheng Deng
Bridging Personalization and Control in Scientific Personalized SearchSheshera Mysore, Garima Dhanania, Kishor Patil, Surya Kallumadi, Andrew Mccallum, Hamed Zamani
Distributionally Robust Optimization for Unbiased Learning to RankZechun Niu, Lang Mei, Chong Chen, Jiaxin Mao
Classifying Term Variants in Query FormulationNuha Abu Onq, Mark Sanderson, Falk Scholer
Why is Normalization Necessary for Linear Recommenders?Seongmin Park, Mincheol Yoon, Hye-young Kim, Jongwuk Lee
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item EmbeddingsAleksandr Vladimirovich Petrov, Craig Macdonald, Nicola Tonellotto
The Great Nugget Recall: An Exploration of Automating Fact Recall Evaluation with Large Language ModelsRonak Pradeep, Nandan Thakur, Shivani Upadhyay, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin
Towards Accurate Social User Geolocation: MeanShift, Incremental Learning and Graph Convolutional NetworksYaqiong Qiao, Aobo Jiao, Xiangyang Luo, Chenliang Li, Jiangtao Ma, Chenkai Guo
Dense Video Event Understanding via Question AnsweringHangyu Qin, Junbin Xiao, Angela Yao
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
Intent-aware Diffusion with Contrastive Learning for Sequential RecommendationYuanpeng Qu, Hajime Nobuhara
Bridging Short Videos and Streamers with Multi-Graph Contrastive Learning for Live Streaming RecommendationChangle Qu, Liqin Zhao, Yanan Niu, Xiao Zhang, Jun Xu
Breaking the lens of the telescope: Online Relevance Estimation over Large Retrieval SetsMandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand
LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information SeekingRuiyang Ren, Yuhao Wang, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wang Wenjie, Tat-Seng Chua
OBELLA: Open the Book for Evaluating Long-form Large Language Model Answers in Open-Domain Question AnsweringTianyu Ren, Zhaoyu Zhang, Hui Wang, Karen Rafferty
Reverse-Engineering the Retrieval Process in GenIR ModelsAnja Reusch, Yonatan Belinkov
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-CheckingKevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro
Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender SystemsRenting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model AlignmentAndrey Sakhovskiy, Elena Tutubalina
WARP: An Efficient Engine for Multi-Vector RetrievalJan Luca Scheerer, Matei Zaharia, Christopher Potts, Gustavo Alonso, Omar Khattab
TITE: Token-Independent Text Encoder for Information RetrievalFerdinand Schlatt, Tim Hagen, Martin Potthast, Matthias Hagen
Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with TreesTiesunlong Shen, Rui Mao, Jin Wang, Xuejie Zhang, Erik Cambria
You Are What You Bought: Generating Customer Personas for E-commerce ApplicationsYimin Shi, Yang Fei, Shiqi Zhang, Haixun Wang, Xiaokui Xiao
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text GenerationTeng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li
Rating-Aware Homogeneous Review Graphs and User Likes/Dislikes Differentiation for Effective RecommendationsJiwon Son, Hyunjoon Kim, Sang-Wook Kim
The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness AssessmentMichael Soprano, Denis Eduard Tapu, David La Barbera, Kevin Roitero, Stefano Mizzaro
MIDI-Zero: A MIDI-driven Self-Supervised Learning Approach for Music RetrievalYuhang Su, Wei Hu, Hongfeng Gao, Fan Zhang
Document Parameterization for Retrieval Augmented GenerationWeihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu
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
Trustworthy Process Rewarding for Retrieval-Augmented ReasoningZhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Yang Song, Han Li
Are Generative AI Agents Effective Personalized Financial Advisors?Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis
Building Large Test Collections with LLM AssistanceRikiya Takehi, Ellen M. Voorhees, Tetsuya Sakai, Ian Soboroff
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document SummarizationShiyin Tan, Jaeeon Park, Dongyuan Li, Renhe Jiang, Manabu Okumura
Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training ApproachYubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
Clarifying Ambiguities: On The Role of Ambiguity Types in Prompting Methods for Clarification GenerationAnfu Tang, Laure Soulier, Vincent Guigue
Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval DefectsYiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai
AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored SearchMairo Villaizán-Vallelado, Matteo Salvatori, Kayhan Latifzadeh, Antonio Penta, Luis A. Leiva, Ioannis Arapakis
Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment GeneratorBing Wang, Bingrui Zhao, Ximing Li, Changchun Li, Wanfu Gao, Shengsheng Wang
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender SystemsZongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
Segmentation Similarity Enhanced Semantic Related Entity Fusion for Multi-modal Knowledge Graph CompletionYunpeng Wang, Bo Ning, Xin Wang, Chengfei Liu, Guanyu Li
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
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
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential RecommendationMaolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao
InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task PlanningZheng Wang, Teo Shu Xian, Jun Jie Chew, Wei Shi
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented GenerationYuhao Wang, Ruiyang Ren, Yucheng Wang, Wayne Xin Zhao, Jing Liu, Hua Wu, Haifeng Wang
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
Triplet Contrastive Learning with Learnable Sequence Augmentation for Sequential RecommendationWei Wang, Yujie Lin, Moyan Zhang, Lu Hongyu, Jianli Zhao, Jie Sun, Xianye Ben, Pengjie Ren, Yujun Li
GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question AnsweringYaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Shuting He, Jun Li, Qika Lin
ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language ModelsChao Wang, Hehe Fan, Ruijie Quan, Lina Yao, Yi Yang
MSL: Not All Tokens Are What You Need for Tuning LLM as a RecommenderBohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang
Intent Representation Learning with Large Language Model for RecommendationYu Wang, Lei Sang, Yi Zhang, Yiwen Zhang
Enhancing Cross-Domain Recommendation with Plug-In Contrastive Representations from Large Language ModelsKe Wang, Ji Zhang, Kuan Liu
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
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated UserXiaolei Wang, Chunxuan Xia, Junyi Li, Fanzhe Meng, Lei Huang, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen
Designing Search Engine Result Pages for Immersive Virtual Reality: Insights from Eye-Tracking and User Perception DataAustin Ward, Bogeum Choi, Robert Capra
MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender SystemsYibiao Wei, Jie Zou, Weikang Guo, Guoqing Wang, Xing Xu, Yang Yang
Dynamic Graph Modeling with Contextual and Temporal RelevanceYuxia Wu, Lizi Liao, Yuan Fang
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, Yong Yu
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
An Empirical Study of Evaluating Long-form Question AnsweringNing Xian, Yixing Fan, Ruqing Zhang, Maarten de Rijke, Jiafeng Guo
AdaRPT: An Adaptive Rule Pattern Transfer Model for Fully Inductive Knowledge Graph ReasoningZhiwen Xie, Zhao Zhuo, Jinjin Ma, Guangyou Zhou, Jimmy Xiangji Huang
A Learnable Fully Interacted Two-Tower Model for Pre-Ranking SystemChao Xiong, Xianwen Yu, Wei Xu, Lei Cheng, Chuan Yuan, Linjian Mo
Enhancing the Patent Matching Capability of Large Language Models via the Memory GraphQiushi Xiong, Zhipeng Xu, Zhenghao Liu, Mengjia Wang, Zulong Chen, Yue Sun, Yu Gu, Xiaohua Li, Ge Yu
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in EconomicsChen Xu, Jujia Zhao, Wang Wenjie, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal RecommendationJinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Sang-Wook Kim, Edith Ngai
Multi-scenario Instance Embedding Learning for Deep Recommender SystemsChaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Zhong Ming
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-PracticingDiji Yang, Linda Zeng, Jinmeng Rao, Yi Zhang
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
Comprehensive List Generation for Multi-Generator RerankingHailan Yang, Zhenyu Qi, Shuchang Liu, Xiaoyu Yang, Xiaobei Wang, Xiang Li, Lantao Hu, Han Li, Kun Gai
Invariance Matters: Empowering Social Recommendation via Graph Invariant LearningYonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang
LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information AsymmetryXiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen
Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender SystemsHyunsik Yoo, Seongku Kang, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong
FashionDPO:Fine-tune Fashion Outfit Generation Model using Direct Preference OptimizationMingzhe Yu, Yunshan Ma, Lei Wu, Changshuo Wang, Xue Li, Lei Meng
Preference-Strength-Aware Self-Improving Alignment with Generative Preference ModelsYuanzhao Zhai, Zhuo Zhang, Cheng Yang, Kele Xu, Yue Yu, Wei Li, Hui Wang, Zenglin Xu, Dawei Feng, Bo Ding, Huaimin Wang
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
Towards Better Evaluating Multi-query Sessions: A Measure Based on the Theory of Planned BehaviorWenbo Zhang, Fan Zhang, Jia Chen, Wei Lu
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative FilteringYu Zhang, Yiwen Zhang, Yi Zhang, Lei Sang, Yun Yang
Towards Distribution Matching between Collaborative and Language Spaces for Generative RecommendationYi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
UPPR+: Scaling Uncertain Personalised PageRank Computation on Billion-Sized Graphs with Mutually Exclusive EdgesMin Zhang, Weiren Yu
Hybrid Advertising in the Sponsored SearchZhen Zhang, Weian Li, Yuhan Wang, Qi Qi, Kun Huang
Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation ModelLuankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph CoordinatorsHengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi
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
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward PassBowen Zhang, Zixin Song, Chunping Li
DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic RewardYi Zhang, Ruihong Qiu, Xuwei Xu, Jiajun Liu, Sen Wang
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
Modeling Social Behavior in Collaborative FilteringYihong Zhang, Takahiro Hara
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset UsageWenyi Zhang, Ju Jia, Xiaojun Jia, Yihao Huang, Xinfeng Li, Cong Wu, Lina Wang
Fair Recommendation with Biased-Limited Sensitive AttributeJizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen, Yang Zhang, Fuli Feng
Multi-level Encoding with Hierarchical Alignment for Sketch-Based 3D Shape RetrievalDonglin Zhang, Changxing Li, Xiao-Jun Wu
Diversity-aware Dual-promotion Poisoning Attack on Sequential RecommendationYuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin
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
Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware RoutingZecheng Zhao, Zhi Chen, Zi Huang, Shazia Sadiq, Tong Chen
How Cohesive Are Community Search Results on Online Social Networks?: An Experimental EvaluationYining Zhao, Sourav S Bhowmick, Nastassja L. Fischer, Shen-Hsing Annabel Chen
Rethinking Continual Knowledge Graph Embedding: Benchmarks and AnalysisTianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Haiping Zhu, Yudai Pan, Jun Liu
HCDS: Hierarchical Clustering for Cold-Start Few-Shot Data SelectionYuhua Zhao, Mengting Hu, Xunzhi Wang, Zhixin Han, Bitong Luo, Hang Gao, Minlie Huang
Social Relation-Level Privacy Risks and Preservation in Social Recommender SystemsXuhao Zhao, Zhongrui Zhang, Yanmin Zhu, Zhaobo Wang, Wenze Ma, Jiadi Yu, Feilong Tang
Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate PredictionChunyuan Zheng, Hang Pan, Yang Zhang, Haoxuan Li
Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive LearningLeqi Zheng, Chaokun Wang, Ziyang Liu, Canzhi Chen, Cheng Wu, Hongwei Li
CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and LanguageLin Zhong, Lingzhi Wang, Xu Yang, Qing Liao
μDS: Multi-Objective Data Snippet Extraction for Dataset SearchXiao Zhou, Qiaosheng Chen, Jiageng Chen, Gong Cheng
Disentangled Graph Debiasing for Next POI RecommendationHailun Zhou, Jiajie Xu, Qiaoming Zhu, Chengfei Liu
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback LoopYuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
OmniNER2025: Diverse and Comprehensive Fine-Grained NER Dataset and Benchmark for ChineseYong Zhou, Shuaipeng Liu, Yunqing Li, Mengting Hu, Wen Dai, Xiaowei Zhao, Xiujuan Xu
Measuring the Fairness Gap Between Retrieval and Generation in RAG Systems using a Cognitive Complexity FrameworkSandeep Avula, Chia-Jung Lee, Rongting Zhang, Vanessa Murdock
Automatic Document Editing for Improved RankingNiv Bardas, Tommy Mordo, Oren Kurland, Moshe Tennenholtz
Augmenting Cross-Modal Art Retrieval: The Role of MLLM-Synthesized CaptionsAidan Bell, James Gore, Behrooz Mansouri
Multilingual Evaluation of Main Content Extractors for Web PagesAurélien Bournonville, François Rioult, Fabrice Maurel, Gaël Dias, Guillaume Pitel, Thomas Largillier, Emmanuel Marchand
Investigating Task Arithmetic for Zero-Shot Information RetrievalMarco Braga, Pranav Kasela, Alessandro Raganato, Gabriella Pasi
Interest Changes: Considering User Interest Life Cycle in Recommendation SystemYinjiang Cai, Jiangpan Hou, Yangping Zhu, Nie Yuan
Dynamic Superblock Pruning for Fast Learned Sparse RetrievalParker Carlson, Wentai Xie, Shanxiu He, Tao Yang
Generating Effective Health-Related Queries for Promoting Reliable Search ResultsXiana Carrera, Marcos Fernández Pichel, David E. Losada
Lost in Transliteration: Bridging the Script Gap in Neural IRAndreas Chari, Iadh Ounis, Sean MacAvaney
Retrieving the Right Law: Enhancing Legal Search with Style TranslationSzu-Ju Chen, Jing Jin, Sheng-Lun Wei, Chien-Hung Chen, Hsin-Hsi Chen
Dynamic Margin-based Contrastive Learning for Robust Negative Sampling in Information RetrievalTsai-Tsung Chen, Chuan-Ju Wang, Ming-Feng Tsai
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative FilteringZheyu Chen, Jinfeng Xu, Yutong Wei, Ziyue Peng
Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity PredictionWei Chen, Jiao Li, Jian Lang, Zhangtao Cheng, Yong Wang, Fan Zhou
Aligning Web Query Generation with Ranking Objectives via Direct Preference OptimizationJoao Coelho, Bruno Martins, Joao Magalhaes, Chenyan Xiong
Graph-Based Multimodal Contrastive Learning for Chart Question AnsweringYue Dai, Soyeon Caren Han, Wei Liu
In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated CodeSusmita Das, Madhusudan Ghosh, Priyanka Swami, Debasis Ganguly, Gul Calikli
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
LLM-Driven Usefulness Labeling for IR EvaluationMouly Dewan, Jiqun Liu, Chirag Shah
RSGEA: Relationship Structure Line Graph for Semi-supervised Entity Alignment based on Edge Weight AdjustmentLinlin Ding, Mengjunyao Si, Mo Li
ELEC: Efficient Large Language Model-empowered Click-Through Rate PredictionRui Dong, Wentao Ouyang, Xiangzheng Liu
A Comparative Study of Large Language Models and Traditional Privacy Measures to Evaluate Query Obfuscation ApproachesFrancesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro
Evaluating Multi-Dimensional Cumulated Utility in Information RetrievalFrancesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro, Kalervo Järvelin
Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal FactualityNaihe Feng, Yi Sui, Shiyi Hou, Jesse Cresswell, Ga Wu
RE-AdaptIR: Improving Information Retrieval through Reverse Engineered AdaptationWilliam Fleshman, Benjamin Van Durme
Large Language Model Relevance Assessors Agree With One Another More Than With Human AssessorsMaik Fröbe, Andrew Parry, Ferdinand Schlatt, Sean MacAvaney, Benno Stein, Martin Potthast, Matthias Hagen
Fast and Effective Early Termination for Simple Ranking FunctionsJinrui Gou, Antonio Mallia, Yifan Liu, Minghao Shao, Torsten Suel
Low-Cost Document Retrieval with Dense Pseudo-Query EncodingShanxiu He, Wentai Xie, Yifan Qiao, Parker Carlson, Tao Yang
Characterising Topic Familiarity and Query Specificity Using Eye-Tracking DataJiaman He, Zikang Leng, Dana McKay, Johanne R Trippas, Damiano Spina
Large Models are Good Annotators for Zero-Shot LearningQingzhi He, Yizhen Jia, Wentong Li, Shengcai Liao, Rong Quan, Tong Cui, Jie Qin
Axiomatic Re-Ranking for Argument RetrievalMaximilian Heinrich, Marvin Vogel, Alexander Bondarenko, Matthias Hagen, Benno Stein
Score-Fitted Indexes and Constant Length Indexes for Information RetrievalDjoerd Hiemstra
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
Training-free Periodic Interest Augmentation in Incremental RecommendationHeyuan Huang, Xingyu Lou, Changwang Zhang, Chaochao Chen, Kuiyao Dong, Feng Lu, Han Lei, Yihao Wang, Wangchunshu Zhou, Jun Wang
Counterfactual Model Selection in Contextual BanditsShion Ishikawa, Young-joo Chung, Yun-Ching Liu, Yu Hirate
GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential RecommendationJunzhe Jiang, Kai Zhang, Junfeng Kang, Yucong Luo, Min Gao
HAETAE: In-domain Table Pretraining with Header AnchoringWoojun Jung, Susik Yoon
Exploring the Role of Diversity in Example Selection for In-Context LearningJanak Kapuriya, Manit Kaushik, Debasis Ganguly, Sumit Bhatia
Evaluating LLMs’ (In)ability to Follow Prompts in QA TasksAparup Khatua, Tobias Kalmbach, Prasenjit Mitra, Sandipan Sikdar
KGMEL: Knowledge Graph-Enhanced Multimodal Entity LinkingJuyeon Kim, Geon Lee, Taeuk Kim, Kijung Shin
Conversational Argument Search Under Selective Exposure: Strategies for Balanced Perspective AccessKyusik Kim, Jeongwoo Ryu, Dongseok Heo, Hyungwoo Song, Changhoon Oh, Bongwon Suh
ReCDAP: Relation-based Conditional Diffusion with Attention Pooling for Few-Shot Knowledge Graph CompletionJeongho Kim, Chanyeong Heo, Jaehee Jung
Evaluating Contrastive Feedback for Effective User SimulationsAndreas Kruff, Timo Breuer, Philipp Schaer
Augmented Generation: A Nugget-Based ApproachWeronika Lajewska, Krisztian Balog
Generate-Distill: Training Cross-Language IR Models with Synthetically-Generated DataDawn Lawrie, Efsun Kayi, Eugene Yang, James Mayfield, Douglas Oard, Scott Miller
SEALR: Sequential Emotion-Aware LLM-Based Personalized Recommendation SystemNamjun Lee, Jaekwang Kim
Towards Principled Learning for Re-ranking in Recommender SystemsQunwei Li, Linghui Li, Jianbin Lin, Wenliang Zhong
Are Information Retrieval Approaches Good at Harmonising Longitudinal Surveys in Social Science?Wing Yan Li, Zeqiang Wang, Jon Johnson, Suparna De
Graph-Augmented Retrieval with Memory-Driven Reasoning and Constraint-Aware Filtering for MultiHop QASiyuan Li, Yongping Du, Mingyang Li
SMMR: Sampling-Based MMR Reranking for Faster, More Diverse, and Balanced Recommendations and RetrievalKiryl Liakhnovich, Oleg Lashinin, Andrei Babkin, Michael Pechatov, Marina Ananyeva
Document Similarity Enhanced IPS Estimation for Unbiased Learning to RankZeyan Liang, Graham McDonald, Iadh Ounis
Improving Link Sign Prediction in Signed Bipartite Graphs via Balanced Line GraphsHongxiang Lin, Yixiao Zhou, Huiying Hu, Xiaoqing Lyu
Multi-Interest Matching for Personalized News Recommendation with Large Language ModelsHongxiang Lin, Yixiao Zhou, Huiying Hu, Xiaoqing Lyu
AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain RecommendationsJiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
Unbiased Collaborative Filtering with Fair SamplingJiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
Improving LLM-powered Recommendations with Personalized InformationJiahao Liu, Xueshuo Yan, Dongsheng Li, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
NAM: A Normalization Attention Model for Personalized Product Search In FliggyShui Liu, Mingyuan Tao, Maofei Que, Pan Li, Dong Li, Shenghua Ni, Zhuoran Zhuang
Learning Resistant Binary Descriptors Against Noise for Efficient Image RetrievalQingqing Long, Haixin Wang, Jinan Sun, Wei Xiang, Yijia Xiao, Yusheng Zhao, Xiao Luo
Dual Debiasing in LLM-based RecommendationSijin Lu, Zhibo Man, Fangyuan Luo, Jun Wu
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System EvaluationChenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan
Measuring Hypothesis Testing Errors in the Evaluation of Retrieval SystemsJack McKechnie, Graham McDonald, Craig Macdonald
Efficient Conversational Search via Topical Locality in Dense RetrievalCristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti, Cosimo Rulli
Effective Inference-Free Retrieval for Learned Sparse RepresentationsFranco Maria Nardini, Thong Nguyen, Cosimo Rulli, Rossano Venturini, Andrew Yates
Understanding Audio-Text Retrieval Through Singular Value DecompositionYoori Oh, Yoseob Han, Joonhyeon Bae, Jaeheon Sim, Kyogu Lee
Limitations of Automatic Relevance Assessments with Large Language Models for Fair and Reliable Retrieval EvaluationDavid Otero, Javier Parapar, Alvaro Barreiro
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
Hierarchical User Long-term Behavior Modeling for Click-Through Rate PredictionMao Pan, Xuanhua Yang, Nan Qiao, Dongyue Wang, Feng Mei, Xiwei Zhao, Sulong Xu
LLM as User Simulator: Towards Training News Recommender without Real User InteractionsChoongwon Park
The Effects of Demographic Instructions on LLM PersonasAngel Felipe Magnossão de Paula, Shane Culpepper, Alistair Moffat, Sachin Pathiyan Cherumanal, Falk Scholer, Johanne R Trippas
Towards Best Practices of Axiomatic Activation Patching in Information RetrievalGregory Polyakov, Catherine Chen, Carsten Eickhoff
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
Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace RecommendationsGuilherme Ramos, Ludovico Boratto, Mirko Marras
Text Obsoleteness Detection using Large Language ModelsRishav Ranaut, Sriparna Saha, Adam Jatowt, Manish Gupta
A Large-Scale Study of Reranker Relevance Feedback at InferenceRevanth Gangi Reddy, Pradeep Dasigi, Md Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi
Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse RetrievalArthur Satouf, Gabriel Ben Zenou, Benjamin Piwowarski, Habiboulaye Amadou Boubacar, Pablo Piantanida
Permutation-Invariant Transformers for Attribute Embeddings in Information RetrievalErnest Kirubakaran Selvaraj, Akshay Shah, Shubham Agrawal, Riya Hedaoo, Samira Golsefid
Bias-Aware Curriculum Sampling For Fair RankingShirin Seyedsalehi, Hai Son Le, Morteza Zihayat, Ebrahim Bagheri
Exploring $\ell_0$ Sparsification for Inference-free Sparse RetrieversXinjie Shen, Zhichao Geng, Yang Yang
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
Dual-perspective Data Augmentation and Curriculum Learning Framework for Low-resource Complex Named Entity RecognitionMengxiao Song, Tianyun Liu, Wenyuan Zhang, Quangang Li, Tingwen Liu
Bridging Time Gaps: Temporal Logic Relations for Enhancing Temporal Reasoning in Large Language ModelsXintong Song, Bin Liang, Yang Sun, Chenhua Zhang, Bingbing Wang, Ruifeng Xu
Bias in Language Models: Interplay of Architecture and Data?Mozhgan Talebpour, Yunfei Long, Alba García Seco De Herrera, Shoaib Jameel
Assessing Faithfulness in RAG: 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
Translative Neural Team Recommendation: From Multilabel Classification to Sequence PredictionKap Thang, Hawre Hosseini, Hossein Fani
System Comparison Using Automated Generation of Relevance Judgements in Multiple LanguagesPaul Thomas, Douglas Oard, Eugene Yang, Dawn Lawrie, James Mayfield
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
Meta-Learning for Incomplete Multimodal Sentiment AnalysisGeng Tu, Tianhao Wu, Xuan Luo, Xi Zeng, Wenjie Li, Ruifeng Xu
From Monolith to Mosaic: Uncovering Behavioral Differences for Choice Models in Recommender Systems SimulationsRobin Ungruh, Alejandro Bellogin, Maria Soledad Pera
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
HTGformer: Heterogeneous Temporal Graph TransformerYili Wang
FROG: Effective Friend Recommendation in Online Games via Modality-aware User PreferencesQiwei Wang, Dandan Lin, Wenqing Lin, Ziming Wu
Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate PredictionZhuoxing Wei, Qi Liu, Qingchen Xie
Retrieving Tables via Inter- and Intra-Content Contrastive Representation LearningJie Wu, Mengshu Hou
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
Fact-Level Calibration and Correction for Long-Form GenerationsYige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng
Interactive Code Information Integrated Programming Knowledge TracingXueqiang Zeng, Guangcheng Fu, Haofei Chen, Qiyun Peng, Mingwen Wang
LLMs for Sparse and Dense Retrieval: A Comparison of the Scaling Behavior of Different Retrieval ParadigmsHansi Zeng, Julian Killingback, Hamed Zamani
EIoU-EMC: A Novel Loss for Domain-specific Nested Entity RecognitionJian Zhang, Tianqing Zhang, Qi Li, Hongwei Wang
Exploring Human-Like Thinking in Search Simulations with Large Language ModelsErhan Zhang, Xingzhu Wang, Peiyuan Gong, Zixuan Yang, Jiaxin Mao
UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph KnowledgeYue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma
Balancing Precision and Generalization: Dynamic Instruction Generation for Model Adaptive Zero-Shot Reasoning in LLMsRuihan Zhu, Bo Wang, Dongming Zhao, Jing Liu, Ruifang He, Yuexian Hou
resource and repro papers
Conversational Gold: Evaluating Personalized Conversational Search System using Gold NuggetsZahra Abbasiantaeb, Simon Lupart, Leif Azzopardi, Jeffrey Dalton, Mohammad Aliannejadi
CoSRec: A Joint Conversational Search and Recommendation DatasetMarco Alessio, Simone Merlo, Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Cristina Ioana Muntean, Franco Maria Nardini, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci, Nicola Viterbo
FACTors: A New Dataset for Studying the Fact-checking EcosystemEnes Altuncu, Can Baskent, Sanjay Bhattacherjee, Shujun Li, Dwaipayan Roy
Benchmarking LLM-based Relevance Judgment MethodsNegar Arabzadeh, Charles Clarke
SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Data Generation for Personalized Tourism RecommendersAshmi Banerjee, Adithi Satish, Fitri Nur Aisyah, Wolfgang Wörndl, Yashar Deldjoo
Reproducing NevIR: Negation in Neural Information RetrievalFrancien Barkhof, Coen van den Elsen, Thijmen Nijdam, Simon Lupart, Mohammad Aliannejadi
Uncertainty-Aware Multimodal Learning: A Dataset and FrameworkGrigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
Unveiling DIME: Reproducibility, Scalability, and Formal Analysis of Dimension Importance Estimation for Dense RetrievalCesare Campagnano, Antonio Mallia, Fabrizio Silvestri
Inside Out 2: Make Room for New Emotions & LLMsHrishita Chakrabarti, Diletta Micol Tobia, Monica Landoni, Maria Soledad Pera
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
Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge GraphQiaosheng Chen, Kaijia Huang, Xiao Zhou, Weiqing Luo, Yuanning Cui, Gong Cheng
Accelerating Listwise Reranking: Reproducing and Enhancing FIRSTZijian Chen, Ronak Pradeep, Jimmy Lin
Qilin: A Multimodal Information Retrieval Dataset with APP-level User SessionsJia Chen, Qian Dong, Tsinghua University, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu
NLCTables: A Dataset for Marrying Natural Language Conditions with Table DiscoveryLingxi Cui, Huan Li, Ke Chen, Lidan Shou, Gang Chen
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering DatasetsPreetam Prabhu Srikar Dammu, Himanshu Naidu, Chirag Shah
WebFAQ: A Multilingual Collection of Natural Q\&A Datasets for Dense RetrievalMichael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrović and Michael Granitzer
A Reproducibility Study of Graph-Based Legal Case RetrievalGregor Donabauer, Udo Kruschwitz
REANIMATOR: Reanimate Retrieval Test Collections with Extracted and Synthetic ResourcesBjörn Engelmann, Fabian Haak, Philipp Schaer, Mani Erfanian Abdoust, Linus Netze, Meik Bittkowski
Does UMBRELA work on other LLMs?Naghmeh Farzi, Laura Dietz
WebClasSeg-25: A Dual-Classified Webpage Segmentation Dataset - Integrating Functional and Maturity-Based AnalysisJonathan Gerber, Jasmin Saxer, Kimia Rabishokr, Bruno Kreiner, Andreas Weiler
Refined Medical Search via Dense Retrieval and User InteractionReyhaneh Goli, Alistair Moffat, George Buchanan
An EEG dataset of word-level brain responses for semantic text relevanceVadym Gryshchuk, Michiel Spapé, Maria Maistro, Christina Lioma, Tuukka Ruotsalo
TIREx Tracker: The Information Retrieval Experiment TrackerTim Hagen, Maik Fröbe, Jan Heinrich Reimer, Harrisen Scells, Matthias Hagen, Martin Potthast
A Dataset of Simulated Tip-of-the-Tongue Queries from LLMs and HumansYifan He, To Eun Kim, Fernando Diaz, Jaime Arguello, Bhaskar Mitra
Benchmark Granularity and Model Robustness for Image-Text Retrieval: A Reproducibility StudyMariya Hendriksen, Shuo Zhang, Ridho Reinanda, Mohamed Yahya, Edgar Meij, Maarten de Rijke
Doctron: A Web-based Collaborative Annotation Tool for Ground Truth Creation in IROrnella Irrera, Stefano Marchesin, Farzad Shami, Gianmaria Silvello
TAFSIL: Taxonomy Adaptable Fine-grained Entity Recognition through Distant Supervision for Indian LanguagesPrachuryya Kaushik, Shivansh Mishra, Ashish Anand
Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia TablesAneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas Runkler, Volker Tresp
A Versatile Dataset of Mouse and Eye Movements on Search Engine Results PagesKayhan Latifzadeh, Jacek Gwizdka, Luis A. Leiva
A Reproducibility Study of LLM Setwise Reranker with HeapsortDawn Lawrie, Efsun Kayi, James Mayfield, Eugene Yang, Andrew Yates, Douglas Oard
RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel InterfacesSantiago de Leon-Martinez, Jingwei Kang, Robert Moro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis, Maria Bielikova
Gosling Grows Up at Ten: Retrieval with Learned Dense and Sparse Representations Using AnseriniJimmy Lin, Haonan Chen, Carlos Lassance, Xueguang Ma, Ronak Pradeep, Tommaso Teofili, Jasper Xian, Jheng-Hong Yang, Brayden Zhong, Vincent Zhong
PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in HealthcareRiccardo Lunardi, Michael Soprano, Paolo Coppola, Vincenzo Della Mea, Stefano Mizzaro, Kevin Roitero
DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender SystemsAlberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia
PVC: A Podcast Test Collection with Transcript and Query VariationsWatheq Mansour, Shane Culpepper, Joel Mackenzie
A Flexible Resource for Top-Weighted Comparisons Between Sets and RankingsAlistair Moffat, Joel Mackenzie, Antonio Mallia, Matthias Petri
IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving AgentsShrestha Mohanty, Negar Arabzadeh, Andrea Tupini, Yuxuan Sun, Alexey Skrynnik, Artem Zholus, Marc-Alexandre Cote, Julia Kiseleva
LEMSS: LLM-Based Platform For Multi-Agent Competitive Search SimulationTommy Mordo, Tomer Kordonsky, Haya Nachimovsky, Moshe Tennenholtz, Oren Kurland
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
Wrong Answers Can Also Be Useful: PlausibleQA — A Large-Scale QA Dataset with Answer Plausibility ScoresJamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt
WikiHint: A Human-Annotated Dataset for Hint Ranking and GenerationJamshid Mozafari, Florian Gerhold, Adam Jatowt
Assessing Effective Token Length of Multimodal Models for Text-to-Image RetrievalLe Nguyen, Preet Jain, Krutik Panchal, Md Tanvirul Alam, Nidhi Rastogi
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility StudyZechun Niu, Zhilin Zhang, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen
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
KIMERA: From Evaluation-as-a-Service to Evaluation-in-the-CloudAndrea Pasin, Nicola Ferro
ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope QuestionsZhiyuan Peng, Jinming Nian, Alexandre Evfimievski, Yi Fang
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise InsertionJakub Podolak, Leon Peric, Mina Janicijevic, Roxana Petcu
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late InteractionJingfen Qiao, Jia-Huei Ju, Xinyu Ma, Evangelos Kanoulas, Andrew Yates
Reassessing the Effectiveness of Reinforcement Learning based Recommender Systems for Sequential RecommendationDilina Chandika Rajapakse, Dietmar Jannach
RARR Unraveled: Component-Level Insights into Hallucination Detection and MitigationJonathan Ross, Ekaterina Khramtsova, Anton van der Vegt, Bevan Koopman, Guido Zuccon
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for Deep ResearchCorbin Rosset, Ho-Lam Chung, Guanghui Qin, Ethan Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao
ir_explain: A Python Library of Explainable IR MethodsSourav Saha, Harsh Agarwal, Venktesh V, Avishek Anand, Swastik Mohanty, Debapriyo Majumdar, Mandar Mitra
Interpreting Multilingual and Document-Length Sensitive Relevance Computations in Neural Retrieval Models through Axiomatic Causal InterventionsOliver Savolainen, Dur E Najaf Amjad, Roxana Petcu
MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer’s DetectionArezo Shakeri, Mina Farmanbar, Krisztian Balog
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
A Worrying Reproducibility Study of Intent-Aware Recommendation ModelsFaisal Shehzad, Maurizio Ferrari Dacrema, Dietmar Jannach
Extending MovieLens-32M to Provide New Evaluation ObjectivesMark Smucker, Houmaan Chamani
JuDGE: Benchmarking Judgment Document Generation for Chinese Law SystemWeihang Su, Baoqing Yue, Qingyao Ai, Hu YiRan, Jiaqi Li, Changyue Wang, Kaiyuan Zhang, Yueyue Wu, Yiqun Liu
Unlearning for Federated Online Learning to Rank: A Reproducibility StudyYiling Tao, Shuyi Wang, Jiaxi Yang, Guido Zuccon
CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail KnowledgeArmin Toroghi, Willis Guo, Scott Sanner
Information Leakage of Sentence Embeddings via Generative Embedding Inversion AttacksAntonios Tragoudaras, Theofanis Aslanidis, Emmanouil Georgios Lionis, Marina Orozco González, Panagiotis Eustratiadis
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation ConversationTsinghua University, Yifan Chen, Hu YiRan, Qingyao Ai, Junjie Chen, Xiaoyu Yang, Jianhui Yang, Yueyue Wu, Zeyang Liu, Yiqun Liu
Resource for Error Analysis in Text Simplification: New Taxonomy and Test CollectionBenjamin Vendeville, Liana Ermakova, Pierre De Loor
2D Matryoshka Training for Information RetrievalShuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
Reassessing Large Language Model Boolean Query Generation for Systematic ReviewsShuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon
FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information RetrievalChen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge AcquisitionZheng Yao, Shuai Wang, Guido Zuccon
Replication and Exploration of Generative Retrieval over Dynamic CorporaZhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren
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
PSCon: Product Search Through ConversationsJie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Shuxi Han, Heli Ma, Zheng Wang, Yang Yang, Heng Tao Shen
demonstration papers
TINK: Text Information Navigation KitDean Alvarez, Chengxiang Zhai
Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based VerificationMariano Barone, Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato
ClusterChat: Multi-Feature Search for Corpus ExplorationAshish Chouhan, Saifeldin Mandour, Michael Gertz
Targeted Multi-Modal Passage Search for Molecules and their Synthesis PathwaysAbhisek Dey, Nathaniel Stanley, Richard Zanibbi
Advancing scientific knowledge retrieval and reuse with a novel digital library for reborn articlesHadi Ghaemi, Lauren Snyder, Markus Stocker
FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender SystemYuhan Hu, Ziyu Lyu, Lu Bai, Lixin Cui
Navigating Speech Recording Collections with AI-Generated IllustrationsSirina Håland, Trond Karlsen Strøm, Petra Galuščáková
OnSET: Ontology and Semantic Exploration ToolkitBenedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck
A Flexible User Study Platform for Generative Information RetrievalYidong Liang, Zhijing Wu, Yuchen He, Fengming Liang, Kexin Liu, Jiaxin Mao
Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and ModalityXueguang Ma, Luyu Gao, Shengyao Zhuang, Jiaqi Samantha Zhan, Jamie Callan, Jimmy Lin
Artifact Sharing for Information Retrieval ResearchSean MacAvaney
Constructing and Evaluating Declarative RAG Pipelines in PyTerrierCraig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng
AiReview: An Open Platform for Accelerating Systematic Reviews with LLMsXinyu Mao, Teerapong Leelanupab, Martin Potthast, Harrisen Scells, Guido Zuccon
NodeRec+: A Lightweight Framework for Federated Recommender SystemsDiarmuid Morgan, Erika Duriakova, Elias Tragos, Neil Hurley, Aonghus Lawlor
RelEx: An XAI-Enhanced Relevance Feedback Model for User-Adaptive ExplanationsSayantan Polley, Govind Shukla, Pritha Ghosal, Andreas Nürnberger
ROKSANA: An Open-Source Toolkit for Robust Graph-Based Keyword SearchRadin Hamidi Rad, Amir Khosrojerdi, Ebrahim Bagheri
InstInfo: A Just-in-Time Literature Recommendation System for PresentationsKevin Ros, Rahul Suresh, Chengxiang Zhai
MMMORRF: Multimodal Multilingual MOdularized Reciprocal Rank FusionSaron Samuel, Dan DeGenaro, Jimena Guallar-Blasco, Kate Sanders, Tanner Spendlove, Seun Eisape, Arun Reddy, Alexander Martin, Andrew Yates, Eugene Yang, Cameron Carpenter, David Etter, Efsun Kayi, Matthew Wiesner, Nolan King, Paul Boegner, Steven Triplett, Thankam Abish, Kenton Murray, Reno Kriz
Multimodal Search in Chemical Documents and ReactionsAyush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Manrique Amador, Patrick Philippy, Ming Zhong, Siru Ouyang, David Mark Friday, Nick Jackson, Richard Zanibbi, Jiawei Han, David Bianchi
Fact Verification in Knowledge Graphs Using LLMsFarzad Shami, Stefano Marchesin, Gianmaria Silvello
NLQxform-UI: An Interactive and Intuitive Scholarly Question Answering SystemRuijie Wang, Zhiruo Zhang, Luca Rossetto, Florian Ruosch, Abraham Bernstein
DeepReport: An AI-assisted Idea Generation System for Scientific ResearchYi Xu, Luoyi Fu, Shuqian Sheng, Bo Xue, Jiaxin Ding, Lei Zhou, Xinbing Wang, Chenghu Zhou
Nugget-based Annotation Protocol and Tool For Evaluating Long-form Retrieval-Augmented GenerationEugene Yang, Dawn Lawrie, Hoa Dang, Ian Soboroff, James Mayfield
ReviewHQ: An API-Based System for Reviewer Assignment and Quality Control in Research ConferencesGuido Zuccon
perspectives
Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval EvaluationKrisztian Balog, Don Metzler, Zhen Qin
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI SearchSunhao Dai, Wang Wenjie, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua
Toward Holistic Evaluation of Recommender Systems Powered by Generative ModelsYashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian McAuley
Adaptive Orchestration of Modular Generative Information Access SystemsMohanna Hoveyda, Harrie Oosterhuis, Arjen de Vries, Maarten de Rijke, Faegheh Hasibi
An Instruction-Response Perspective on Large Language Models in Information Retrieval TasksHideo Joho, Joemon Jose
Brain-Machine Interfaces & Information Retrieval Challenges and OpportunitiesYashar Moshfeghi, Niall McGuire
My System Is As Effective As Yours: Reproducibility, Sustainability, and MoreTetsuya Sakai
From To-do to Ta-da: Transforming Task-Focused IR with Generative AIChirag Shah, Ryen White
The Importance of Information Retrieval in Empowering Socially Responsible ConsumerismFrans van der Sluis, Leif Azzopardi, Florian Meier
Information Retrieval for Artificial General Intelligence: A New Perspective of Information Retrieval ResearchChengxiang Zhai
low resource papers
Leveraging Artificial Intelligence-Powered Virtual Assistants for Information Retrieval in Indigenous Agriculture: Insights from NigeriaOlusesan Michael Awoleye, Oluwamayowa Adebisi, Idowu Atoloye, Atanda Oladejo, Abiodun Atoloye, Cornelius Atere, Victoria Tanimonure
Fair Access to Food Data in Africa: an Approach Based on Retrieval-Augmented GenerationJean Petit Bikim, Charles Njiosseu, Leuna Fienkak, Azanzi Jiomekong, Sören Auer
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
IR for AAC Users: A Hyperdimensional Computing (Vector Symbolic Architectures) ApproachHunter Briegel, Maya Pagal, Shane Culpepper
When Less is Enough: Optimizations for Low-Cost Recommendation SystemsDanish Kalim, Deepanshu Hardaha, Shivansh Joshi
Efficient Approximate Nearest Neighbor Search on a Raspberry PiSilvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
Some Things Never Change: Overcoming Persistent Challenges in Children IRMaria Soledad Pera, Theo Huibers, Emiliana Murgia, Monica Landoni
Towards Enhanced Agricultural Information Access in Kiswahili: Integrating Knowledge Graphs and Retrieval-Augmented GenerationJoseph Telemala, Neema Lyimo, Anna Kimaro, Camilius Sanga
Dense Retrieval for Low Resource languages - the Case of Amharic LanguageTilahun Yeshambel, Moncef Garouani, Serge Molina, Josiane Mothe
doctoral consortium
Personalized Conversational Search: Evaluation and MethodZahra Abbasiantaeb
Enhancing AI Agents with Human Theory of Mind (ToM) for Context-Aware ActionsMaryam Amirizaniani
From Professional Search to Generative Deep Research Systems: How Can Expert Oversight Improve Search Outcomes?Samy Ateia
Towards Explainable and Safe Systems for Health DataEliseo Bao
Search Efficiency for Score-at-a-Time RetrievalKatelyn Harlan
Evaluating the Impact of Automated Labeling on Retrieval Instability in Neural IRWilliam Ingram
Continuous Evaluation in Information Retrieval Across Methods and TimeJüri Keller
Towards Efficient and Effective Multi-modal RetrievalWatheq Mansour
The Agent Perspective In LLM-Based Strategic Information Retrieval EcosystemsTommy Mordo
Strategic Multi-Agent Dynamics in Competitive IRHaya Nachimovsky
Enhancing Knowledge Injection in Large Language Models for Efficient and Trustworthy ResponsesHeydar Soudani
SIRIP/Industry Track
Insight Agents: An LLM-Based Multi-Agent System for Data InsightsJincheng Bai, Zhenyu Zhang, Jennifer Zhang and Jason Zhu
GRAIN: Group-Reinforced Adaptive Interaction Network for Cold-Start CTR Prediction in E-commerce SearchWei Bao, Hao Chen, Bang Lin, Tao Zhang and Chengfu Huo
Data-efficient meta-models for evaluation of context-based questions and answers in LLMsJulia Belikova, Konstantin Polev, Rauf Parchiev and Dmitry Simakov
Adaptive Domain Scaling for Personalized Sequential Modeling in RecommendersZheng Chai, Hui Lu, Di Chen, Qin Ren, Yuchao Zheng and Xun Zhou
ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerceZheng Fang, Donghao Xie, Ming Pang, Chunyuan Yuan, Xue Jiang, Changping Peng, Zhangang Lin and Zheng Luo
Towards Improving Image Quality in Second-Hand Marketplaces with LLMsSandra Garcia-Esparza, Victor Codina, Salma Lahbiss, Imène Sediri and Nafi Cissé
From Keywords to Concepts: A Late Interaction Approach to Semantic Product Search on IKEA.comAmritpal Singh Gill, Sannikumar Patel, Péter Varga, Patrick Miller and Sakis Athanasiadis
Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential RecommendationZhen Gong, Zhifang Fang, Hui Lu, Qiwei Chen, Chenbin Zhang, Lin Guan, Yuchao Zheng, Feng Zhang, Xiao Yang and Zuotao Liu
Retrieval for Semantic People SearchRupesh Gupta, Chujie Zheng and Haojun Li
Defining & Optimizing Quality of LinkedIn’s Content SearchAli Hooshmand and Rupesh Gupta
Content Moderation in TV Search: Balancing Policy Compliance, Relevance, and User ExperienceAdeep Hande, Kishorekumar Sundararajan, Sardar Hamidian and Ferhan Ture
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 and Weiran Li
Learning Universal User Representations Leveraging Cross-domain User Intent at SnapchatClark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Ching Dou, Yang Zhou, Sohail Nizam, Rengim Aykan Ozturk, Yvette Liu, Sen Yang, Manish Malik and Neil Shah
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 and Manish Gupta
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 and Saehun Kim
Embedding-based Retrieval in Multi-Modal Content ModerationHanzhong Liang, Jinghao Shi, Xiang Shen, Zixuan Wang, Vera Wen, Ardalan Mehrani, Zhiqian Chen, Yifan Wu and Zhixin Zhang
Multi-objective Aligned Bidword Generation Model for E-commerce Search AdvertisingZhenhui Liu, Chunyuan Yuan, Ming Pang, Zheng Fang, Li Yuan, Xue Jiang, Changping Peng, Zhangang Lin, Zheng Luo and Jingping Shao
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 and Qi He
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 and Zhangang Lin
A Generative Re-ranking Model for List-level Multi-objective Optimization at TaobaoYue Meng, Cheng Guo, Yi Cao, Tong Liu and Bo Zheng
MO-LightGBM: A Library for Multi-objective Learning to Rank with LightGBMChaosheng Dong and Michinari Momma
PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time RetrievalZihan Niu, Zheyong Xie, Shaosheng Cao, Chonggang Lu, Zheyu Ye, Tong Xu, Zuozhu Liu, Yan Gao, Jia Chen, Zhe Xu, Yi Wu and Yao Hu
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 Agarwal, Michael Browserox, Cun Mu and Ciya Liao
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 and Jingping Shao
Robust Inverse Retrieval in Online Advertising with Contrastive LearningPhaniram Sayapaneni, Konstantin Shmakov and Sunil Goda
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 and Lin Liu
Alleviating LLM-based Generative Retrieval Hallucination in Alipay SearchYedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu and Linjian Mo
Progressive Refinement of E-commerce Search Ranking Based on Short-Term Activities of the BuyerTaoran Sheng, Sathappan Muthiah, Atiq Islam and Jinming Feng
Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-CommerceXianfeng Tang, Jingying Zeng, Samarth Varshney, Zhiji Liu, Hui Liu, Zhenwei Dai, Chen Luo, Zhen Li and Qi He
SuperRS: Multi Scenario Reciprocal-Aware Dual MoE for Unified Recommendation-Search RankingZihan Xia, Chuanyu Xu, Tao Zhang and Chengfu Huo
Towards More Relevant Product Search Ranking with Fulfillment Intent UnderstandingJingxu Xu, Xinyi Liu, Yang Yu, Semih Yagli, Jingbo Liu and Cun Mu
Inquiry Assistant Using LLM-Generated Knowledge GraphsIstván Varga and Yuta Yamashita
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, Yan Xi, Rong Shi, Xiyuan Chen, Jing Xu, Zhaojun Zhang, Ye Wang, Gautam Srinivasan, Yang Wang, Qianru Li, Mahesh Masale, Zhengyu Zhang, Zeliang Chen, Ellie Wen and Puneet Sharma
Ontology-Guided Knowledge Graph Retrieval for Multi-Hop and Cross-Granularity Store Fulfillment QueriesMengyue Zhao, Matthew Nokleby, Bo Shen, Wenbo Dong, Deepti Pachauri and Andrew Yang
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 and Linjian Mo
TOIS Papers
Data Augmentation for Sample Efficient and Robust Document RankingAbhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra and Avishek Anand
Proactive Conversational AI: A Comprehensive Survey of Advancements and OpportunitiesYang Deng, Lizi Liao, Wenqiang Lei, Grace Hui Yang, Wai Lam and Tat-Seng Chua
Federated Recommender System Based on Diffusion Augmentation and Guided DenoisingYicheng Di, Hongjian Shi, Xiaoming Wang, Ruhui Ma and Yuan Liu
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing AssistantAlexander Frummet, Alessandro Speggiorin, David Elsweiler, Anton Leuski and Jeff Dalton
A Knowledge Graph Embedding Model for Answering Factoid Entity QuestionsParastoo Jafarzadeh, Faezeh Ensan, Mahdiyar Ali Akbar Alavi and Fattane Zarrinkalam
Explaining Recommendation Fairness from a User/Item PerspectiveJie Li, Yongli Ren, Mark Sanderson and Ke Deng
Generalized Weak Supervision for Neural Information RetrievalYen-Chieh Lien, Hamed Zamani and Bruce Croft
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction ModelsQi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinygu Zhang and Zhao Cao
Structure-Aware Conversational Legal Case RetrievalBulou Liu, Yiran Hu, Qingyao Ai, Yueyue Wu, Yiqun Liu, Chenliang Li, Fan Zhang, Weixing Shen, Chong Chen and Qi Tian
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation ModelsZirui Liu, Hailin Zhang, Boxuan Chen, Zihan Jiang, Yikai Zhao, Yangyu Tao, Tong Yang and Bin Cui
Automated Disentangled Sequential Recommendation with Large Language ModelsXin Wang, Hong Chen, Zirui Pan, Yuwei Zhou, Chaoyu Guan, Lifeng Sun and Wenwu Zhu
Graph-Enhanced Prompt Learning for Cross-Domain Contract Element ExtractionZihan Wang, Hanbing Wang, Pengjie Ren, Zhumin Chen, Maarten de Rijke and Zhaochun Ren
LTP-MMF: Towards Long-Term Provider Max-Min Fairness Under Recommendation Feedback LoopsChen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen and Ji-Rong Wen
The In-Situ Effect of Offensive Ads on Search Engine UsersElad Yom-Tov and Liat Levontin
Feature-Enhanced Neural Collaborative Reasoning for Explainable RecommendationXiaoyu Zhang, Shaoyun Shi, Yishan Li, Weizhi Ma, Peijie Sun and Min Zhang
Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential ModelingJie Zou, Aixin Sun, Cheng Long and Evangelos Kanoulas