Keqin Bao - RankMe

47 papers A* 7A 2Journal 29Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Sample-Efficient and Stable Reinforcement Learning for LLM-based Recommendation. CoRR Hongxun Ding, Keqin Bao, Jizhi Zhang, Yi Fang, Wenxin Xu, Fuli Feng, Xiangnan He
2025	J	`jnl`	A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. Trans. Recomm. Syst. Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yanchen Luo, Chong Chen, Fuli Feng, Qi Tian
2025	A*	`conf`	Agentic Feedback Loop Modeling Improves Recommendation and User Simulation. SIGIR Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He
2025	J	`jnl`	Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning. CoRR Shanle Zheng, Keqin Bao, Jizhi Zhang, Yang Zhang, Fuli Feng, Xiangnan He
2025	J	`jnl`	Chain of Execution Supervision Promotes General Reasoning in Large Language Models. CoRR Nuo Chen, Zehua Li, Keqin Bao, Junyang Lin, Dayiheng Liu
2025	J	`jnl`	CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation. IEEE Trans. Knowl. Data Eng. Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He
2025	J	`jnl`	CoRT: Code-integrated Reasoning within Thinking. CoRR Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu
2025	—	`conf`	Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation. ACL (Findings) Keqin Bao, Ming Yan, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2025	—	`conf`	Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation. EMNLP (Findings) Chengbing Wang, Yang Zhang, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua
2025	J	`jnl`	Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation. CoRR Chengbing Wang, Yang Zhang, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua
2025	J	`jnl`	Envisioning Recommendations on an LLM-Based Agent Platform. Commun. ACM Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua
2025	A*	`conf`	Fair Recommendation with Biased-Limited Sensitive Attribute. SIGIR Jizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen, Yang Zhang, Fuli Feng
2025	—	`conf`	HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning. ACL (Findings) Xiaoyuan Li, Moxin Li, Rui Men, Yichang Zhang, Keqin Bao, Wenjie Wang, Fuli Feng, Dayiheng Liu, Junyang Lin
2025	J	`jnl`	HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning. CoRR Xiaoyuan Li, Moxin Li, Rui Men, Yichang Zhang, Keqin Bao, Wenjie Wang, Fuli Feng, Dayiheng Liu, Junyang Lin
2025	—	`conf`	K-order Ranking Preference Optimization for Large Language Models. ACL (Findings) Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng
2025	J	`jnl`	K-order Ranking Preference Optimization for Large Language Models. CoRR Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng
2025	J	`jnl`	MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation. CoRR Xiaoyuan Li, Keqin Bao, Yubo Ma, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu, Junyang Lin
2025	A*	`conf`	Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment. SIGIR Xinyu Lin, Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng
2025	J	`jnl`	Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code. CoRR Keqin Bao, Nuo Chen, Xiaoyuan Li, Binyuan Hui, Bowen Yu, Fuli Feng, Xiangnan He, Dayiheng Liu
2025	J	`jnl`	Teaching Language Models to Reason with Tools. CoRR Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu
2024	J	`jnl`	Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation. CoRR Yang Zhang, Juntao You, Yimeng Bai, Jizhi Zhang, Keqin Bao, Wenjie Wang, Tat-Seng Chua
2024	J	`jnl`	Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation. CoRR Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng
2024	A*	`conf`	Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models. EMNLP Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng
2024	J	`jnl`	FLOW: A Feedback LOop FrameWork for Simultaneously Enhancing Recommendation and User Agents. CoRR Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Fuli Feng
2024	A*	`conf`	GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation. EMNLP Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng
2024	J	`jnl`	GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation. CoRR Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng
2024	A*	`conf`	Item-side Fairness of Large Language Model-based Recommendation System. WWW Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
2024	J	`jnl`	Item-side Fairness of Large Language Model-based Recommendation System. CoRR Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
2024	A*	`conf`	Large Language Models for Recommendation: Past, Present, and Future. SIGIR Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng
2024	—	`conf`	Large Language Models for Recommendation: Progresses and Future Directions. WWW (Companion Volume) Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2024	J	`jnl`	Prospect Personalized Recommendation on Large Language Model-based Agent Platform. CoRR Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua
2024	J	`jnl`	Qwen2.5 Technical Report. CoRR 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
2024	J	`jnl`	Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning. CoRR Keqin Bao, Ming Yang, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2024	—	`conf`	Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. ACL (1) Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He
2024	J	`jnl`	Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. CoRR Yang Zhang, Keqin Bao, Ming Yang, Wenjie Wang, Fuli Feng, Xiangnan He
2023	J	`jnl`	A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. CoRR Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Fuli Feng, Xiangnan He, Qi Tian
2023	J	`jnl`	CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation. CoRR Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He
2023	A	`conf`	Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. RecSys Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2023	J	`jnl`	Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. CoRR Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2023	—	`conf`	Large Language Models for Recommendation: Progresses and Future Directions. SIGIR-AP Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2023	A	`conf`	TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. RecSys Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2023	J	`jnl`	TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. CoRR Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2023	J	`jnl`	Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors. CoRR Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie
2022	J	`jnl`	Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task. CoRR Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie
2022	—	`conf`	Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task. WMT Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie
2022	J	`jnl`	Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task. CoRR Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie
2022	—	`conf`	Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task. WMT Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie