Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task. - Keqin Bao; Yu Wan 004; Dayiheng Liu; Baosong Yang; Wenqiang Lei; Xiangnan He 001; Derek F. Wong; Jun Xie (WMT, 2022)

Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task. - Yu Wan 004; Keqin Bao; Dayiheng Liu; Baosong Yang; Derek F. Wong; Lidia S. Chao; Wenqiang Lei; Jun Xie (WMT, 2022)

Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task. - Yu Wan 004; Keqin Bao; Dayiheng Liu; Baosong Yang; Derek F. Wong; Lidia S. Chao; Wenqiang Lei; Jun Xie (CoRR, 2022)

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. - Keqin Bao; Jizhi Zhang; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (RecSys, 2023)

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. - Jizhi Zhang; Keqin Bao; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (RecSys, 2023)

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors. - Keqin Bao; Yu Wan 004; Dayiheng Liu; Baosong Yang; Wenqiang Lei; Xiangnan He 001; Derek F. Wong; Jun Xie (CoRR, 2023)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. - Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Yang Zhang 072; Zhengyi Yang 007; Yancheng Luo; Fuli Feng; Xiangnan He 001; Qi Tian 001 (CoRR, 2023)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. - Yang Zhang 072; Keqin Bao; Ming Yan; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (ACL (1), 2024)

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models. - Keqin Bao; Jizhi Zhang; Yang Zhang 072; Xinyue Huo; Chong Chen 001; Fuli Feng (EMNLP, 2024)

GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation. - Shihao Cai; Keqin Bao; Hangyu Guo; Jizhi Zhang; Jun Song; Bo Zheng (EMNLP, 2024)

Large Language Models for Recommendation: Past, Present, and Future. - Keqin Bao; Jizhi Zhang; Xinyu Lin 001; Yang Zhang 072; Wenjie Wang 007; Fuli Feng (SIGIR, 2024)

Item-side Fairness of Large Language Model-based Recommendation System. - Meng Jiang; Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Zhengyi Yang 007; Fuli Feng; Xiangnan He 001 (WWW, 2024)

Large Language Models for Recommendation: Progresses and Future Directions. - Jizhi Zhang; Keqin Bao; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (WWW (Companion Volume), 2024)

Prospect Personalized Recommendation on Large Language Model-based Agent Platform. - Jizhi Zhang; Keqin Bao; Wenjie Wang 007; Yang Zhang 072; Wentao Shi 002; Wanhong Xu; Fuli Feng; Tat-Seng Chua (CoRR, 2024)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. - Yang Zhang 072; Keqin Bao; Ming Yang 001; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation. - Keqin Bao; Jizhi Zhang; Yang Zhang 072; Xinyue Huo; Chong Chen 001; Fuli Feng (CoRR, 2024)

FLOW: A Feedback LOop FrameWork for Simultaneously Enhancing Recommendation and User Agents. - Shihao Cai; Jizhi Zhang; Keqin Bao; Chongming Gao; Fuli Feng (CoRR, 2024)

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation. - Yang Zhang 072; Juntao You; Yimeng Bai; Jizhi Zhang; Keqin Bao; Wenjie Wang 007; Tat-Seng Chua (CoRR, 2024)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning. - Keqin Bao; Ming Yang 001; Yang Zhang 072; Jizhi Zhang; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Qwen2.5 Technical Report. - An Yang; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoran Wei; Huan Lin; Jian Yang 003; et al. (CoRR, 2024)

Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation. - Keqin Bao; Ming Yan; Yang Zhang 072; Jizhi Zhang; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (ACL (Findings), 2025)

K-order Ranking Preference Optimization for Large Language Models. - Shihao Cai; Chongming Gao; Yang Zhang 072; Wentao Shi 002; Jizhi Zhang; Keqin Bao; Qifan Wang 001; Fuli Feng (ACL (Findings), 2025)

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 007; Fuli Feng; Dayiheng Liu; Junyang Lin (ACL (Findings), 2025)

Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment. - Xinyu Lin 001; Keqin Bao; Jizhi Zhang; Yang Zhang 072; Wenjie Wang 007; Fuli Feng (SIGIR, 2025)

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation. - Shihao Cai; Jizhi Zhang; Keqin Bao; Chongming Gao; Qifan Wang 001; Fuli Feng; Xiangnan He 001 (SIGIR, 2025)

Fair Recommendation with Biased-Limited Sensitive Attribute. - Jizhi Zhang; Haoyu Shen; Tianhao Shi; Keqin Bao; Xin Chen 033; Yang Zhang 072; Fuli Feng (SIGIR, 2025)

Envisioning Recommendations on an LLM-Based Agent Platform. - Jizhi Zhang; Keqin Bao; Wenjie Wang 007; Yang Zhang 072; Wentao Shi 002; Wanhong Xu; Fuli Feng; Tat-Seng Chua (Commun. ACM, 2025)

Qwen3 Technical Report. - An Yang; Anfeng Li; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Gao; Chengen Huang; Chenxu Lv; Chujie Zheng; Dayiheng Liu; et al. (CoRR, 2025)

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation. - Xiaoyuan Li; Keqin Bao; Yubo Ma; Moxin Li; Wenjie Wang 007; Rui Men; Yichang Zhang; Fuli Feng; Dayiheng Liu; Junyang Lin (CoRR, 2025)

CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation. - Yang Zhang 072; Fuli Feng; Jizhi Zhang; Keqin Bao; Qifan Wang 001; Xiangnan He 001 (IEEE Trans. Knowl. Data Eng., 2025)

CoRT: Code-integrated Reasoning within Thinking. - Chengpeng Li 001; Zhengyang Tang; Ziniu Li; Mingfeng Xue; Keqin Bao; Tian Ding; Ruoyu Sun 001; Benyou Wang; Xiang Wang 010; Junyang Lin; Dayiheng Liu (CoRR, 2025)

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning. - Shanle Zheng; Keqin Bao; Jizhi Zhang; Yang Zhang 072; Fuli Feng; Xiangnan He 001 (CoRR, 2025)

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code. - Keqin Bao; Nuo Chen; Xiaoyuan Li; Binyuan Hui; Bowen Yu 002; Fuli Feng; Xiangnan He 001; Dayiheng Liu (CoRR, 2025)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. - Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Yang Zhang 072; Zhengyi Yang 007; Yanchen Luo; Chong Chen 001; Fuli Feng; Qi Tian 001 (Trans. Recomm. Syst., 2025)