| 2024 | Recent Advances in Generative Information Retrieval. | Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke |
| 2024 | GraphGPT: Graph Instruction Tuning for Large Language Models. | Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang |
| 2024 | Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. | Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2024 | Searching for Physical Documents in Archival Repositories. | Tokinori Suzuki, Douglas W. Oard, Emi Ishita, Yoichi Tomiura |
| 2024 | MACA: Memory-aided Coarse-to-fine Alignment for Text-based Person Search. | Liangxu Su, Rong Quan, Zhiyuan Qi, Jie Qin |
| 2024 | An Integrated Data Processing Framework for Pretraining Foundation Models. | Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao |
| 2024 | To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process. | Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu |
| 2024 | R-ODE: Ricci Curvature Tells When You Will be Informed. | Li Sun, Jingbin Hu, Mengjie Li, Hao Peng |
| 2024 | DDPO: Direct Dual Propensity Optimization for Post-Click Conversion Rate Estimation. | Hongzu Su, Lichao Meng, Lei Zhu, Ke Lu, Jingjing Li |
| 2024 | RAG-Ex: A Generic Framework for Explaining Retrieval Augmented Generation. | Viju Sudhi, Sinchana Ramakanth Bhat, Max Rudat, Roman Teucher |
| 2024 | YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy. | Fabian M. Suchanek, Mehwish Alam, Thomas Bonald, Lihu Chen, Pierre-Henri Paris, Jules Soria |
| 2024 | Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. | Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng |
| 2024 | Timeline Summarization in the Era of LLMs. | Daivik Sojitra, Raghav Jain, Sriparna Saha, Adam Jatowt, Manish Gupta |
| 2024 | Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs. | Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke |
| 2024 | Analyzing and Mitigating Repetitions in Trip Recommendation. | Wenzheng Shu, Kangqi Xu, Wenxin Tai, Ting Zhong, Yong Wang, Fan Zhou |
| 2024 | SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks. | Michael Shliselberg, Ashkan Kazemi, Scott A. Hale, Shiri Dori-Hacohen |
| 2024 | Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. | Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He |
| 2024 | UniSAR: Modeling User Transition Behaviors between Search and Recommendation. | Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song |
| 2024 | Neural Click Models for Recommender Systems. | Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko |
| 2024 | Large Language Models are Learnable Planners for Long-Term Recommendation. | Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng |
| 2024 | Striking the Right Chord: A Comprehensive Approach to Amazon Music Search Spell Correction. | Siddharth Sharma, Shiyun Yang, Ajinkya Walimbe, Tarun Sharma, Joaquin Delgado |
| 2024 | Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models. | Vinay Setty |
| 2024 | FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking. | Vinay Setty |
| 2024 | A Field Guide to Automatic Evaluation of LLM-Generated Summaries. | Tempest A. van Schaik, Brittany Pugh |
| 2024 | SIGIR 2024 Workshop on Simulations for Information Access (Sim4IA 2024). | Philipp Schaer, Christin Katharina Kreutz, Krisztian Balog, Timo Breuer, Norbert Fuhr |