| 2026 | ACL | MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation. | Xiaoyuan Li, Keqin Bao, Yubo Ma, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu |
| 2025 | ACL | Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation. | Keqin Bao, Ming Yan, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He |
| 2025 | ACL | K-order Ranking Preference Optimization for Large Language Models. | Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng |
| 2025 | ACL | HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning. | Xiaoyuan Li, Moxin Li, Rui Men, Yichang Zhang, Keqin Bao, Wenjie Wang, Fuli Feng, Dayiheng Liu, Junyang Lin |
| 2025 | EMNLP | Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation. | Chengbing Wang, Yang Zhang, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua |
| 2025 | SIGIR | Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment. | Xinyu Lin, Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng |
| 2025 | SIGIR | Agentic Feedback Loop Modeling Improves Recommendation and User Simulation. | Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He |
| 2025 | SIGIR | Fair Recommendation with Biased-Limited Sensitive Attribute. | Jizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen, Yang Zhang, Fuli Feng |
| 2024 | ACL | Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. | Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He |
| 2024 | EMNLP | Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models. | Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng |
| 2024 | EMNLP | GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation. | Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng |
| 2024 | WWW | Item-side Fairness of Large Language Model-based Recommendation System. | Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He |
| 2024 | WWW | Large Language Models for Recommendation: Progresses and Future Directions. | Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He |
| 2024 | SIGIR | Large Language Models for Recommendation: Past, Present, and Future. | Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng |
| 2023 | RecSys | TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. | Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He |
| 2023 | RecSys | Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. | Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He |