80 citations · 121 across the 25 of their papers we have counts for
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cs.AI2026
MOCC-R1: Reinforcing Reasoning-Response Consistency for Multimodal Counselor Response Generation
Wenjie Zheng, Qiming Xie, Jianfei Yu +1
Multimodal counselor response generation (MCRG) aims to generate an appropriate counselor response from multimodal dialogue histories. Progress is limited by two gaps: first, exist…
cs.AI2026
Execution-Verified Reinforcement Learning for Optimization Modeling
Runda Guan, Xiangqing Shen, Jiajun Zhang +3
Automating optimization modeling with LLMs is a promising path toward scalable decision intelligence, but existing approaches either rely on agentic pipelines built on closed-sourc…
cs.AI2025★ 1 cited
Neutralizing Popularity Bias in LLM-based Recommendation via Counterfactual Reasoning Guidelines
Guanrong Li, Haolin Yang, Xinyu Liu +3
In the era of generative AI, recommender systems are moving from precise prediction to trustworthy generation. Large language models (LLMs) support this shift by inferring user int…