| 2024 | FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation. | Shuai Wang, Ekaterina Khramtsova, Shengyao Zhuang, Guido Zuccon |
| 2024 | Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling. | Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
| 2024 | Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering. | Duokang Wang, Linmei Hu, Rui Hao, Yingxia Shao, Xin Lv, Liqiang Nie, Juanzi Li |
| 2024 | Semi-supervised Prototype Semantic Association Learning for Robust Cross-modal Retrieval. | Junsheng Wang, Tiantian Gong, Yan Yan |
| 2024 | NFARec: A Negative Feedback-Aware Recommender Model. | Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Dongjin Yu |
| 2024 | CaDRec: Contextualized and Debiased Recommender Model. | Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu |
| 2024 | Improving In-Context Learning via Sequentially Selection and Preference Alignment for Few-Shot Aspect-Based Sentiment Analysis. | Qianlong Wang, Keyang Ding, Xuan Luo, Ruifeng Xu |
| 2024 | MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation. | Zijie J. Wang, Duen Horng Chau |
| 2024 | GOLF: Goal-Oriented Long-term liFe tasks supported by human-AI collaboration. | Ben Wang |
| 2024 | Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization. | Pancheng Wang, Shasha Li, Dong Li, Kehan Long, Jintao Tang, Ting Wang |
| 2024 | unKR: A Python Library for Uncertain Knowledge Graph Reasoning by Representation Learning. | Jingting Wang, Tianxing Wu, Shilin Chen, Yunchang Liu, Shutong Zhu, Wei Li, Jingyi Xu, Guilin Qi |
| 2024 | CWRCzech: 100M Query-Document Czech Click Dataset and Its Application to Web Relevance Ranking. | Josef Vonsek, Milan Straka, Rostislav Krc, Lenka Lasonov, Ekaterina Egorova, Jana Strakov, Jakub Nplava |
| 2024 | Question Suggestion for Conversational Shopping Assistants Using Product Metadata. | Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi |
| 2024 | A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. | Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch |
| 2024 | The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking. | Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani |
| 2024 | Detecting and Explaining Emotions in Video Advertisements. | Joachim Vanneste, Manisha Verma, Debasis Ganguly |
| 2024 | QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims. | Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty |
| 2024 | Analyzing Fusion Methods Using the Condorcet Rule. | Liron Tyomkin, Oren Kurland |
| 2024 | A Persona-Infused Cross-Task Graph Network for Multimodal Emotion Recognition with Emotion Shift Detection in Conversations. | Geng Tu, Feng Xiong, Bin Liang, Ruifeng Xu |
| 2024 | 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, Luke Gallagher |
| 2024 | EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. | Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen |
| 2024 | Systematic Evaluation of Neural Retrieval Models on the Touch 2020 Argument Retrieval Subset of BEIR. | Nandan Thakur, Luiz Bonifacio, Maik Frbe, Alexander Bondarenko, Ehsan Kamalloo, Martin Potthast, Matthias Hagen, Jimmy Lin |
| 2024 | IDGenRec: LLM-RecSys Alignment with Textual ID Learning. | Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang |
| 2024 | CaseLink: Inductive Graph Learning for Legal Case Retrieval. | Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang |
| 2024 | EditKG: Editing Knowledge Graph for Recommendation. | Gu Tang, Xiaoying Gan, Jinghe Wang, Bin Lu, Lyuwen Wu, Luoyi Fu, Chenghu Zhou |