| 2025 | LLM-Driven Usefulness Labeling for IR Evaluation. | Mouly Dewan, Jiqun Liu, Chirag Shah |
| 2025 | CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval. | Hao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen, Yu Zhang, Xiaoyi Zeng, Jing Zhang |
| 2025 | HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation. | Hao Deng, Haibo Xing, Kanefumi Matsuyama, Yulei Huang, Jinxin Hu, Hong Wen, Jia Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang |
| 2025 | GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI. | Yashar Deldjoo, Scott Sanner, Enrico Palumbo, Hugues Bouchard, Shuai Zhang, Pablo Castells, Julian J. McAuley |
| 2025 | Toward Holistic Evaluation of Recommender Systems Powered by Generative Models. | Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian J. McAuley |
| 2025 | In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code. | Susmita Das, Madhusudan Ghosh, Priyanka Swami, Debasis Ganguly, Gul Calikli |
| 2025 | Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation. | Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets. | Preetam Prabhu Srikar Dammu, Himanshu Naidu, Chirag Shah |
| 2025 | NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. | Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua |
| 2025 | Mitigating Source Bias with LLM Alignment. | Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu |
| 2025 | Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. | Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma |
| 2025 | Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising. | Xiaoxi Cui, Weihai Lu, Yu Tong, Yiheng Li, Zhejun Zhao |
| 2025 | Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction. | Xiaoxi Cui, Weihai Lu, Yu Tong, Yiheng Li, Zhejun Zhao |
| 2025 | CIRAG: Retrieval-Augmented Language Model with Collective Intelligence. | Chenxu Cui, Haihui Fan, Jinchao Zhang, Lin Shen, Bo Li, Weiping Wang |
| 2025 | nlcTables: A Dataset for Marrying Natural Language Conditions with Table Discovery. | Lingxi Cui, Huan Li, Ke Chen, Lidan Shou, Gang Chen |
| 2025 | Aligning Web Query Generation with Ranking Objectives via Direct Preference Optimization. | Joo Coelho, Bruno Martins, Joo Magalhes, Chenyan Xiong |
| 2025 | Locality-Sensitive Indexing for Graph-Based Approximate Nearest Neighbor Search. | Jun Woo Chung, Huawei Lin, Weijie Zhao |
| 2025 | ClusterChat: Multi-Feature Search for Corpus Exploration. | Ashish Chouhan, Saifeldin Mandour, Michael Gertz |
| 2025 | Dynamic Time-aware Continual User Representation Learning. | Seungyoon Choi, Sein Kim, Hongseok Kang, Wonjoong Kim, Chanyoung Park |
| 2025 | CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models. | Junze Chen, Xinjie Yang, Cheng Yang, Junfei Bao, Zeyuan Guo, Yawen Li, Chuan Shi |
| 2025 | Collaborative Diffusion Models for Recommendation. | Mengru Chen, Lianghao Xia, Yong Xu, Ronghua Luo |
| 2025 | Pre-training for Recommendation Unlearning. | Guoxuan Chen, Lianghao Xia, Chao Huang |
| 2025 | Dynamic Margin-based Contrastive Learning for Robust Negative Sampling in Information Retrieval. | Tsai-Tsung Chen, Chuan-Ju Wang, Ming-Feng Tsai |
| 2025 | CoachGPT: A Scaffolding-based Academic Writing Assistant. | Fumian Chen, Sotheara Veng, Joshua Wilson, Xiaoming Li, Hui Fang |
| 2025 | Accelerating Listwise Reranking: Reproducing and Enhancing FIRST. | Zijian Chen, Ronak Pradeep, Jimmy Lin |