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2020 – today
- 2025
[j3]Jizhi Zhang
, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua:
Envisioning Recommendations on an LLM-Based Agent Platform. Commun. ACM 68(05): 48-57 (2025)- [j2]Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He:
CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation. IEEE Trans. Knowl. Data Eng. 37(5): 2329-2340 (2025) - [j1]Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yanchen Luo, Chong Chen, Fuli Feng, Qi Tian:
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. Trans. Recomm. Syst. 3(4): 53:1-53:27 (2025) - [c17]Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng:
K-order Ranking Preference Optimization for Large Language Models. ACL (Findings) 2025: 4844-4859 - [c16]Xiaoyuan Li, Moxin Li, Rui Men, Yichang Zhang, Keqin Bao, Wenjie Wang, Fuli Feng, Dayiheng Liu, Junyang Lin:
HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning. ACL (Findings) 2025: 9038-9072 - [c15]Keqin Bao, Ming Yan, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation. ACL (Findings) 2025: 14278-14291 - [c14]Jizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen, Yang Zhang, Fuli Feng:
Fair Recommendation with Biased-Limited Sensitive Attribute. SIGIR 2025: 1717-1727 - [c13]Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He:
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation. SIGIR 2025: 2235-2244 - [c12]Xinyu Lin, Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng:
Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment. SIGIR 2025: 4134-4137 - [i26]Xiaoyuan Li, Moxin Li, Rui Men, Yichang Zhang, Keqin Bao, Wenjie Wang, Fuli Feng, Dayiheng Liu, Junyang Lin:
HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning. CoRR abs/2502.11393 (2025) - [i25]An Yang, Anfeng Li, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Gao, Chengen Huang, Chenxu Lv, Chujie Zheng, Dayiheng Liu, Fan Zhou, Fei Huang, Feng Hu, Hao Ge, Haoran Wei, Huan Lin, Jialong Tang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jian Yang, Jiaxi Yang, Jingren Zhou, Junyang Lin, Kai Dang, Keqin Bao, Kexin Yang, Le Yu, Lianghao Deng, Mei Li, Mingfeng Xue, Mingze Li, Pei Zhang, Peng Wang, Qin Zhu, Rui Men, Ruize Gao, Shixuan Liu, Shuang Luo, Tianhao Li, Tianyi Tang, Wenbiao Yin, Xingzhang Ren, Xinyu Wang, Xinyu Zhang, Xuancheng Ren, Yang Fan, Yang Su, Yichang Zhang, Yinger Zhang, Yu Wan, Yuqiong Liu, Zekun Wang, Zeyu Cui, Zhenru Zhang, Zhipeng Zhou, Zihan Qiu:
Qwen3 Technical Report. CoRR abs/2505.09388 (2025) - [i24]Xiaoyuan Li, Keqin Bao, Yubo Ma, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu, Junyang Lin:
MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation. CoRR abs/2505.17123 (2025) - [i23]Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng:
K-order Ranking Preference Optimization for Large Language Models. CoRR abs/2506.00441 (2025) - [i22]Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu:
CoRT: Code-integrated Reasoning within Thinking. CoRR abs/2506.09820 (2025) - [i21]Shanle Zheng, Keqin Bao, Jizhi Zhang, Yang Zhang, Fuli Feng, Xiangnan He:
Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning. CoRR abs/2507.07064 (2025) - [i20]Keqin Bao, Nuo Chen, Xiaoyuan Li, Binyuan Hui, Bowen Yu, Fuli Feng, Xiangnan He, Dayiheng Liu:
Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code. CoRR abs/2507.07498 (2025) - [i19]Chengbing Wang, Yang Zhang, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua:
Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation. CoRR abs/2509.11524 (2025) - [i18]Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu:
Teaching Language Models to Reason with Tools. CoRR abs/2510.20342 (2025) - [i17]Nuo Chen, Zehua Li, Keqin Bao, Junyang Lin, Dayiheng Liu:
Chain of Execution Supervision Promotes General Reasoning in Large Language Models. CoRR abs/2510.23629 (2025) - 2024
- [c11]Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He:
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. ACL (1) 2024: 9181-9191 - [c10]Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng:
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation. EMNLP 2024: 750-766 - [c9]Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng:
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models. EMNLP 2024: 10540-10552 - [c8]Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng:
Large Language Models for Recommendation: Past, Present, and Future. SIGIR 2024: 2993-2996 - [c7]Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Large Language Models for Recommendation: Progresses and Future Directions. WWW (Companion Volume) 2024: 1268-1271 - [c6]Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He:
Item-side Fairness of Large Language Model-based Recommendation System. WWW 2024: 4717-4726 - [i16]Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He:
Item-side Fairness of Large Language Model-based Recommendation System. CoRR abs/2402.15215 (2024) - [i15]Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua:
Prospect Personalized Recommendation on Large Language Model-based Agent Platform. CoRR abs/2402.18240 (2024) - [i14]Yang Zhang, Keqin Bao, Ming Yang, Wenjie Wang, Fuli Feng, Xiangnan He:
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. CoRR abs/2406.03210 (2024) - [i13]Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng:
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation. CoRR abs/2406.11503 (2024) - [i12]Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng:
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation. CoRR abs/2406.14900 (2024) - [i11]Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Fuli Feng:
FLOW: A Feedback LOop FrameWork for Simultaneously Enhancing Recommendation and User Agents. CoRR abs/2410.20027 (2024) - [i10]Yang Zhang, Juntao You, Yimeng Bai, Jizhi Zhang, Keqin Bao, Wenjie Wang, Tat-Seng Chua:
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation. CoRR abs/2410.22809 (2024) - [i9]Keqin Bao, Ming Yang, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning. CoRR abs/2410.23136 (2024) - [i8]An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, Huan Lin, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Yang, Jiaxi Yang, Jingren Zhou, Junyang Lin, Kai Dang, Keming Lu, Keqin Bao, Kexin Yang, Le Yu, Mei Li, Mingfeng Xue, Pei Zhang, Qin Zhu, Rui Men, Runji Lin, Tianhao Li, Tingyu Xia, Xingzhang Ren, Xuancheng Ren, Yang Fan, Yang Su, Yichang Zhang, Yu Wan, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zihan Qiu:
Qwen2.5 Technical Report. CoRR abs/2412.15115 (2024) - 2023
- [c5]Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. RecSys 2023: 993-999 - [c4]Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. RecSys 2023: 1007-1014 - [c3]Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Large Language Models for Recommendation: Progresses and Future Directions. SIGIR-AP 2023: 306-309 - [i7]Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie:
Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors. CoRR abs/2302.08975 (2023) - [i6]Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. CoRR abs/2305.00447 (2023) - [i5]Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. CoRR abs/2305.07609 (2023) - [i4]Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Fuli Feng, Xiangnan He, Qi Tian:
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. CoRR abs/2308.08434 (2023) - [i3]Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He:
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation. CoRR abs/2310.19488 (2023) - 2022
- [c2]Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie:
Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task. WMT 2022: 586-592 - [c1]Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie:
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task. WMT 2022: 597-605 - [i2]Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie:
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task. CoRR abs/2210.09683 (2022) - [i1]Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie:
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task. CoRR abs/2210.10049 (2022)
Coauthor Index
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