SELF-EMO: Emotional Self-Evolution from Recognition to Consistent Expression explores A self-evolution framework for LLMs that improves emotion recognition and consistent expression through self-play and reinforcement learning, achieving state-of-the-art results.. Commercial viability score: 7/10 in LLM Agents.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Freshness
Canonical route: /paper/self-emo-emotional-self-evolution-from-recognition-to-consistent-expression
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Agent Handoff
Canonical ID self-emo-emotional-self-evolution-from-recognition-to-consistent-expression | Route /paper/self-emo-emotional-self-evolution-from-recognition-to-consistent-expression
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/self-emo-emotional-self-evolution-from-recognition-to-consistent-expressionMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.18003"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "SELF-EMO: Emotional Self-Evolution from Recognition to Consistent Expression",
"normalized_query": "2604.18003",
"route": "/paper/self-emo-emotional-self-evolution-from-recognition-to-consistent-expression",
"paper_ref": "self-emo-emotional-self-evolution-from-recognition-to-consistent-expression",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Dimensions overall score 7.0
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