| 2024 | Counterfactual Augmentation for Robust Authorship Representation Learning. | Hieu Man, Thien Huu Nguyen |
| 2024 | Faster Learned Sparse Retrieval with Block-Max Pruning. | Antonio Mallia, Torsten Suel, Nicola Tonellotto |
| 2024 | CivilSum: A Dataset for Abstractive Summarization of Indian Court Decisions. | Manuj Malik, Zheng Zhao, Marcio Fonseca, Shrisha Rao, Shay B. Cohen |
| 2024 | Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding. | Dongning Ma, Xun Jiao |
| 2024 | DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion. | Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar |
| 2024 | A Reproducibility Study of PLAID. | Sean MacAvaney, Nicola Tonellotto |
| 2024 | Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval. | Guangyuan Ma, Xing Wu, Zijia Lin, Songlin Hu |
| 2024 | Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. | Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison |
| 2024 | Untitled record | Christian Llf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke |
| 2024 | Untitled record | Zijun Long, Xuri Ge, Richard McCreadie, Joemon M. Jose |
| 2024 | Enhanced Packed Marker with Entity Information for Aspect Sentiment Triplet Extraction. | You Li, Xupeng Zeng, Yixiao Zeng, Yuming Lin |
| 2024 | DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain Recommendation. | Yu Li, Yi Zhang, Zimu Zhou, Qiang Li |
| 2024 | OpenSiteRec: An Open Dataset for Site Recommendation. | Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing |
| 2024 | Optimal Transport Enhanced Cross-City Site Recommendation. | Xinhang Li, Xiangyu Zhao, Zihao Wang, Yang Duan, Yong Zhang, Chunxiao Xing |
| 2024 | Who To Align With: Feedback-Oriented Multi-Modal Alignment in Recommendation Systems. | Yang Li, Qi'ao Zhao, Chen Lin, Jinsong Su, Zhilin Zhang |
| 2024 | Intent Distribution based Bipartite Graph Representation Learning. | Haojie Li, Wei Wei, Guanfeng Liu, Jinhuan Liu, Feng Jiang, Junwei Du |
| 2024 | Graph Diffusive Self-Supervised Learning for Social Recommendation. | Jiuqiang Li, Hongjun Wang |
| 2024 | AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. | Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming |
| 2024 | SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. | Yuxi Liu, Lianghao Xia, Chao Huang |
| 2024 | Preventing and Detecting Misinformation Generated by Large Language Models. | Aiwei Liu, Qiang Sheng, Xuming Hu |
| 2024 | A Question-Answering Assistant over Personal Knowledge Graph. | Lingyuan Liu, Huifang Du, Xiaolian Zhang, Mengying Guo, Haofen Wang, Meng Wang |
| 2024 | A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce. | Jinhan Liu, Qiyu Chen, Junjie Xu, Junjie Li, Baoli Li, Sulong Xu |
| 2024 | Search under Uncertainty: Cognitive Biases and Heuristics: A Tutorial on Testing, Mitigating and Accounting for Cognitive Biases in Search Experiments. | Jiqun Liu, Leif Azzopardi |
| 2024 | Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. | Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai |
| 2024 | Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |