Emotion2Skill: Model-Internal Emotion Signals for Adaptive Skill Selection and Evolution
Skill-based LLM agents select reusable procedures from an external library to solve complex tasks, yet their routing decisions rely entirely on text-level signals such as task descriptions, verbal reflections, and experience-derived rules, while the model's own internal representational state remains unobserved. Recent...