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20232026
most citedLarge Language Models are Learnable Planners for Long-Term Recommendation

31 citations · 68 across the 42 of their papers we have counts for

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cs.LG2026

Beyond Verbalized Confidence: Calibrating Reasoners with Differentiable Readouts

Chenxiao Fan, Chongming Gao, Gangyi Zhang +8

Reinforcement learning with verifiable rewards (RLVR) trains reasoning models to produce correct answers, but does not ensure that their stated confidence is calibrated. The result…

cs.LG2025

Fine-grained List-wise Alignment for Generative Medication Recommendation

Chenxiao Fan, Chongming Gao, Wentao Shi +3

Accurate and safe medication recommendations are critical for effective clinical decision-making, especially in multimorbidity cases. However, existing systems rely on point-wise p…

cs.LG2024

A3S: A General Active Clustering Method with Pairwise Constraints

Xun Deng, Junlong Liu, Han Zhong +5

Active clustering aims to boost the clustering performance by integrating human-annotated pairwise constraints through strategic querying. Conventional approaches with semi-supervi…

cs.LG2024

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

Haoxuan Li, Chunyuan Zheng, Sihao Ding +4

Selection bias in recommender system arises from the recommendation process of system filtering and the interactive process of user selection. Many previous studies have focused on…

cs.LG2024

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients

Zihao Zhao, Yi Jing, Fuli Feng +3

Medication recommendation systems have gained significant attention in healthcare as a means of providing tailored and effective drug combinations based on patients' clinical infor…