Publications
My full publication list, including peer-reviewed papers and preprints. Underlined author names indicate equal contribution.
Uncertainty-aware Generative Recommendation
Chenxiao Fan, Chongming Gao, Yaxin Gong, Haoyan Liu, Fuli Feng, Xiangnan He
KDD 2026
conferenceAddresses uncertainty blindness in generative recommendation through uncertainty-weighted rewards, difficulty-aware optimization, and explicit confidence alignment.
Fine-grained List-wise Alignment for Generative Medication Recommendation
Chenxiao Fan, Chongming Gao, Wentao Shi, Yaxin Gong, Zihao Zhao, Fuli Feng
NeurIPS 2025
conferenceSpotlightFormulates medication recommendation as list-wise generation and uses step-wise GRPO to improve accuracy while controlling drug--drug interaction risk.
Process-Supervised LLM Recommenders via Flow-guided Tuning
Chongming Gao, Mengyao Gao, Chenxiao Fan, Shuai Yuan, Wentao Shi, Xiangnan He
SIGIR 2025
conferenceUses GFlowNet-based process supervision to align token-level generation with item-level rewards, improving accuracy, diversity, and fairness.
Medical Reasoning With Large Language Models: A Systematic Review and Evaluation
Xiaohan Ren, Chenxiao Fan, Wenyin Ma, Hongliang He, Chongming Gao, Xiaoyan Zhao, Fuli Feng
iNew Medicine 2026
journalSystematizes LLM-based medical reasoning, evaluates representative models under a unified setting, and introduces MR-Bench using real-world clinical data.
Beyond Verbalized Confidence: Calibrating Reasoners with Differentiable Readouts
Chenxiao Fan, Chongming Gao, Gangyi Zhang, Leyang Shen, Yaxin Gong, Jiamin Wang, Jiakai Wang, Dong Wang, Yang Liu, Fuli Feng, Xiangnan He
arXiv 2026
preprintIntroduces CREDO, a differentiable confidence readout for RLVR that jointly improves reasoning accuracy, calibration, abstention, and selective prediction.
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
Bohao Wang, Yu Cui, Zhenxiang Xu, Jujia Zhao, Chenxiao Fan, Jizhi Zhang, Weiqin Yang, Shengjia Zhang, Sirui Chen, Yang Zhang, Xiaoyan Zhao, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He, Jiawei Chen
arXiv 2026
preprintReviews over 200 studies and maps 13 opportunities and 18 challenges for trustworthy LLM-empowered recommendation across six dimensions.
Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription
Zihao Zhao, Chenxiao Fan, Junlong Liu, Zheng Wang, Xiangnan He, Chongming Gao, Juan Li, Fuli Feng
arXiv 2025
preprintAdapts LLMs to medication recommendation with medication-aware training, reducing overprescription and improving temporal and cross-dataset generalization.
When Upstream Messages Override Correct Answers: A Controlled Study of Multi-Agent LLM Collaboration
Yaxin Gong, Gangyi Zhang, Chongming Gao, Leyang Shen, Chenxiao Fan, Jiakai Wang, Dong Wang, Yang Liu, Wenjie Wang, Xiangnan He
arXiv 2026
preprintIsolates the benefits and risks of inter-agent messaging, showing how incorrect upstream messages can overwrite evidence-supported answers through answer substitution.
Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation
Jiaju Chen, Chongming Gao, Chenxiao Fan, Haoyan Liu, Qingpeng Cai, Peng Jiang, Xiangnan He
arXiv 2026
preprintAccelerates generative list-wise recommendation with item- and draft-step-aware position embeddings while largely preserving recommendation quality.
Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation
Yaxin Gong, Chongming Gao, Chenxiao Fan, Haoyan Liu, Wenjie Wang, Jianshan Sun, Yangyang Li, Fuli Feng, Xiangnan He
arXiv 2026
preprintIntroduces user, item, and platform agents to jointly optimize relevance, item utility, and exposure fairness.