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SIGIR 2024: all accepted papers

389 papers · page 1 of 4 · the most cited first · ← SIGIR 2024

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  1. C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang et al.485 citations · our summary
  2. The Power of Noise: Redefining Retrieval for RAG Systems ↗Florin Cuconasu, Giovanni Trappolini, Federico Siciliano et al.215 citations
  3. GraphGPT: Graph Instruction Tuning for Large Language Models ↗Jiabin Tang, Yuhao Yang, Wei Wei et al.199 citations
  4. Large Language Models can Accurately Predict Searcher Preferences ↗Paul Thomas, Seth E. Spielman, Nick Craswell et al.168 citations
  5. Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering ↗Zhentao Xu, Missy Meine C. Dela Cruz, Matthew Guevara et al.160 citations
  6. Data-efficient Fine-tuning for LLM-based Recommendation ↗Xinyu Lin, Wenjie Wang, Yongqi Li et al.157 citations
  7. Evaluating Retrieval Quality in Retrieval-Augmented Generation ↗Alireza Salemi, Hamed Zamani155 citations
  8. LLaRA: Large Language-Recommendation Assistant ↗Jiayi Liao, Sihang Li, Zhengyi Yang et al.128 citations
  9. Fine-Tuning LLaMA for Multi-Stage Text RetrievalXueguang Ma, Liang Wang, Nan Yang et al.120 citations · our summary
  10. On Generative Agents in Recommendation ↗An Zhang, Yuxin Chen, Leheng Sheng et al.113 citations
  11. When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications ↗Qidong Liu, Xian Wei Wu, Xiangyu Zhao et al.93 citations
  12. Denoising Diffusion Recommender Model ↗Jujia Zhao, Wenjie Wang, Yiyan Xu et al.88 citations
  13. Large Language Models for Next Point-of-Interest Recommendation ↗Peibo Li, Maarten de Rijke, Hao Xue et al.88 citations
  14. TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems ↗Peiyan Zhang, Yuchen Yan, Xi Zhang et al.88 citations
  15. SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation ↗Yuxi Liu, Lianghao Xia, Chao Huang63 citations
  16. A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models ↗Shengyao Zhuang, Honglei Zhuang, Bevan Koopman et al.60 citations
  17. CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation ↗Xiaolong Xu, Hongsheng Dong, Lianyong Qi et al.57 citations
  18. Disentangled Contrastive Hypergraph Learning for Next POI Recommendation ↗Yantong Lai, Yijun Su, Lingwei Wei et al.55 citations
  19. LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image Retrieval ↗Zhenyu Yang, Dizhan Xue, Shengsheng Qian et al.54 citations
  20. MACRec: A Multi-Agent Collaboration Framework for Recommendation ↗Zhefan Wang, Yuanqing Yu, Wendi Zheng et al.54 citations
  21. Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation ↗Alireza Salemi, Surya Teja Kallumadi, Hamed Zamani52 citations
  22. Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation ↗Mingshi Yan, Fan Liu, Jing Sun et al.51 citations
  23. LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction ↗Chenhao Fang, Xiaohan Li, Zezhong Fan et al.51 citations
  24. Large Language Models and Future of Information Retrieval: Opportunities and Challenges ↗ChengXiang Zhai49 citations
  25. Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations ↗Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli et al.48 citations
  26. IDGenRec: LLM-RecSys Alignment with Textual ID Learning ↗Juntao Tan, Shuyuan Xu, Wenyue Hua et al.47 citations
  27. IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues ↗Diji Yang, Jinmeng Rao, Kezhen Chen et al.46 citations
  28. OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems ↗Shuyuan Xu, Wenyue Hua, Yongfeng Zhang46 citations
  29. Towards Human-centered Proactive Conversational Agents ↗Yang Deng, Lizi Liao, Zhonghua Zheng et al.46 citations
  30. Diffusion Models for Generative Outfit Recommendation ↗Yiyan Xu, Wenjie Wang, Fuli Feng et al.45 citations
  31. Evaluating Generative Ad Hoc Information Retrieval ↗Lukas Gienapp, Harrisen Scells, Niklas Deckers et al.45 citations
  32. Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering ↗Yi Jun Zhang, Lei Sang, Yiwen Zhang44 citations
  33. Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning ↗Yuyue Zhao, Jiancan Wu, Xiang Wang et al.42 citations
  34. Sequential Recommendation with Latent Relations based on Large Language Model ↗Shenghao Yang, Weizhi Ma, Peijie Sun et al.42 citations
  35. IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT ↗Junchen Fu, Xuri Ge, Xin Xin et al.40 citations
  36. NativE: Multi-modal Knowledge Graph Completion in the Wild ↗Yichi Zhang, Zhuo Chen, Lingbing Guo et al.39 citations
  37. YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy ↗Fabian M. Suchanek, Mehwish Alam, Thomas Bonald et al.37 citations
  38. Large Language Models for Intent-Driven Session Recommendations ↗Zhu Sun, Hongyang Liu, Xinghua Qu et al.36 citations
  39. SIGformer: Sign-aware Graph Transformer for Recommendation ↗Sirui Chen, Jiawei Chen, Sheng Zhou et al.35 citations
  40. Disentangling ID and Modality Effects for Session-based Recommendation ↗Xiaokun Zhang, Bo Xu, Zhaochun Ren et al.34 citations
  41. Large Language Models are Learnable Planners for Long-Term Recommendation ↗Wentao Shi, Xiangnan He, Yang Zhang et al.34 citations
  42. AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations ↗Wei Wu, Chao Wang, Dazhong Shen et al.33 citations
  43. Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors ↗Binzong Geng, Zhaoxin Huan, Xiaolu Zhang et al.32 citations
  44. Multi-intent-aware Session-based Recommendation ↗Minjin Choi, Hye-young Kim, Hyunsouk Cho et al.32 citations
  45. Synthetic Test Collections for Retrieval Evaluation ↗Hossein A. Rahmani, Nick Craswell, Emine Yılmaz et al.32 citations
  46. A Field Guide to Automatic Evaluation of LLM-Generated Summaries ↗Tempest A van Schaik, Brittany Pugh30 citations
  47. Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval ↗Haoqiang Lin, Haokun Wen, Xuemeng Song et al.30 citations
  48. Multimodality Invariant Learning for Multimedia-Based New Item Recommendation ↗Haoyue Bai, Le Wu, Min Hou et al.30 citations
  49. Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval ↗Haokun Wen, Xuemeng Song, Xiaolin Chen et al.30 citations
  50. Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity ↗Yu Hou, Jin-Duk Park, Won-Yong Shin29 citations
  51. Universal Adversarial Perturbations for Vision-Language Pre-trained Models ↗Peng-Fei Zhang, Zi Helen Huang, Guangdong Bai29 citations
  52. Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models ↗Yankun Ren, Zhongde Chen, Xinxing Yang et al.28 citations
  53. FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation ↗Shuai Wang, Ekaterina Khramtsova, Shengyao Zhuang et al.28 citations
  54. Graph Signal Diffusion Model for Collaborative Filtering ↗Yunqin Zhu, Chao Wang, Qi Zhang et al.28 citations
  55. M 3 oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework ↗Zijian Zhang, Shuchang Liu, Jiaao Yu et al.28 citations
  56. RAG-Ex: A Generic Framework for Explaining Retrieval Augmented Generation ↗Viju Sudhi, Sinchana Ramakanth Bhat, Max Rudat et al.28 citations
  57. Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling ↗Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis et al.28 citations
  58. Scaling Laws For Dense Retrieval ↗Yan Fang, Jingtao Zhan, Qingyao Ai et al.28 citations
  59. ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringAbdelrahman Abdallah, Mahmoud SalahEldin Kasem, Mahmoud I. Abdalla et al.27 citations · our summary
  60. Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation ↗Ting Zhong, Jian Lang, Yifan Zhang et al.27 citations
  61. Ranked List Truncation for Large Language Model-based Re-Ranking ↗Chuan Meng, Negar Arabzadeh, Arian Askari et al.27 citations
  62. Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization ↗Hamed Zamani, Michael Bendersky27 citations
  63. Faster Learned Sparse Retrieval with Block-Max Pruning ↗Antonio Mallia, Torsten Suel, Nicola Tonellotto26 citations
  64. FineRec: Exploring Fine-grained Sequential Recommendation ↗Xiaokun Zhang, Bo Xu, Youlin Wu et al.26 citations
  65. Graph Diffusive Self-Supervised Learning for Social Recommendation ↗Jiuqiang Li, Hongjun Wang26 citations
  66. Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation ↗Hanyu Li, Weizhi Ma, Peijie Sun et al.25 citations
  67. On the Evaluation of Machine-Generated Reports ↗James Mayfield, Eugene Yang, Dawn Lawrie et al.25 citations
  68. Scaling Sequential Recommendation Models with Transformers ↗Pablo Zivic, Hernan Ceferino Vazquez, Jorge Sánchez25 citations
  69. Content-based Graph Reconstruction for Cold-start Item Recommendation ↗Jinri Kim, Eungi Kim, Kwangeun Yeo et al.24 citations
  70. Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search ↗Hideaki Joko, Shubham Chatterjee, Andrew Ramsay et al.24 citations
  71. Large Language Models for Tabular Data: Progresses and Future Directions ↗Haoyu Dong, Zhiruo Wang24 citations
  72. What do Users Really Ask Large Language Models? An Initial Log Analysis of Google Bard Interactions in the Wild ↗Johanne R. Trippas, Sara Fahad Dawood Al Lawati, Joel Mackenzie et al.24 citations
  73. Characterizing Information Seeking Processes with Multiple Physiological Signals ↗Kaixin Ji, Danula Hettiachchi, Flora Dilys Salim et al.23 citations
  74. LLM4Eval: Large Language Model for Evaluation in IR ↗Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi et al.23 citations
  75. Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation ↗park chung, Tae‐San Kim, H.S. Yoon et al.23 citations
  76. Preventing and Detecting Misinformation Generated by Large Language Models ↗Aiwei Liu, Qiang Sheng, Xuming Hu23 citations
  77. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention ↗Ziru Liu, Shuchang Liu, Zijian Zhang et al.23 citations
  78. Are Large Language Models Good at Utility Judgments? ↗Hengran Zhang, Ruqing Zhang, Jiafeng Guo et al.22 citations
  79. Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems ↗Dayu Yang, F.L. Chen, Hui Fang22 citations
  80. Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange ↗Ankit Satpute, Noah Gießing, André Greiner-Petter et al.22 citations
  81. Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation ↗Huy Quang Dao, Yang Deng, Dung D. Le et al.21 citations
  82. EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation ↗Shaorun Zhang, Zhiyu He, Ziyi Ye et al.21 citations
  83. Fake News Detection via Multi-scale Semantic Alignment and Cross-modal Attention ↗Jiandong Wang, Hongguang Zhang, Chun Liu et al.21 citations
  84. Leveraging LLMs for Unsupervised Dense Retriever Ranking ↗Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh et al.21 citations
  85. Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding ↗Hansi Zeng, Chen Luo, Hamed Zamani21 citations
  86. LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset ↗Haitao Li, Yunqiu Shao, Yueyue Wu et al.20 citations
  87. PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors ↗Vikas Yadav, Zheng Sophia Tang, Vijay Srinivasan20 citations
  88. TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants ↗Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee et al.20 citations
  89. USimAgent: Large Language Models for Simulating Search Users ↗Erhan Zhang, Xingzhu Wang, Peiyuan Gong et al.20 citations
  90. Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images ↗Shicheng Xu, Danyang Hou, Liang Pang et al.19 citations
  91. Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients ↗Zihao Zhao, Yi Jing, Fuli Feng et al.19 citations
  92. Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models ↗Alireza Salemi, Hamed Zamani19 citations
  93. EditKG: Editing Knowledge Graph for Recommendation ↗Gu Tang, Xiaoying Gan, Jinghe Wang et al.18 citations
  94. Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation ↗Zhongliang Zhou, Jielu Zhang, Zihan Guan et al.18 citations
  95. Large Language Models for Recommendation: Past, Present, and Future ↗Keqin Bao, Jizhi Zhang, Xinyu Lin et al.18 citations
  96. Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions ↗Soumyadeep Roy, Aparup Khatua, Fatemeh Ghoochani et al.17 citations
  97. CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks ↗Xiaoxi Li, Zhicheng Dou, Yujia Zhou et al.17 citations
  98. Explainability for Transparent Conversational Information-Seeking ↗Weronika Łajewska, Damiano Spina, Johanne R. Trippas et al.17 citations
  99. Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach ↗Weicong Qin, Zelin Cao, Weijie Yu et al.17 citations
  100. Multi-granular Adversarial Attacks against Black-box Neural Ranking Models ↗Yu-An Liu, Ruqing Zhang, Jiafeng Guo et al.17 citations

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