From Surface to Depth: Towards Cognitive Appraisal Reasoning in Multimodal Emotion Understanding

cs.MM, cs.AI, cs.HC

Submitted: 2026-10-08

Updated: 2026-10-08

Comments: 34 pages, 10 figures, Project page: https://github.com/MSA-LMC/CogEmo

Code: https://github.com/MSA-LMC/CogEmo

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Qwen Technical Report
• Qwen2-Audio Technical Report
• MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
• Kimi K3: Open Frontier Intelligence
• None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks
• Qwen3-Omni Technical Report
• R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning

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