arXiv AI August 18, 2026 By Yunxiao Wang, Meng Liu, Sicheng Zhao, Lizi Liao, Liqiang Nie

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Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

arXiv AI

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EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent Specialization

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arXiv AI

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EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models

arXiv:2602. 23802v2 Announce Type: replace Abstract: Multimodal Large Language Models (MLLMs) have shown remarkable progress in visual reasoning and understanding tasks but still struggle to capture the complexity and subjectivity of human emotions.

By Yiyang Fang, Wenke Huang, Pei Fu, Yihao Yang, Kehua Su, Zhenbo Luo, Jian Luan, Mang Ye

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arXiv AI

Jun 11

ProcessThinker: Enhancing Multi-modal Large Language Models Reasoning via Rollout-based Process Reward

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Hugging Face Trending Papers

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One Model, Multiple Goals: Adaptive Multi-Objective Learning for E-commerce Dialogue Systems

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arXiv AI

Jun 17

EmoFSM: A Finite State Machine for Emotional Support Conversation

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arXiv AI

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Aligning Deep Implicit Preferences by Learning to Reason Defensively

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By Peiming Li, Zhiyuan Hu, Yang Tang, Shiyu Li, Xi Chen

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EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent Specialization

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