arXiv (All)
open access
Do Self-Evolving Skills Generalize to Held-Out Tasks?
AI agents can externalize what they learn from past tasks into reusable \emph{skills}, such as procedures, checklists, code, or other executable artifacts, that can be retrieved and reused when solving new tasks. Self-evolving skill methods keep rewriting these skills after each round of practice on
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- MAIGO: Mitigating Lost-in-Conversation with History-Cleaned On-Policy Self-Distillation#798916
- MAIGO: Mitigating Lost-in-Conversation with History-Cleaned On-Policy Self-Distillation#797502
- Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models#999540
- TTSR: Test-Time Self-Evolving via Reflection#1014626
- Inside the Skill Market: From Software Engineering Activities to Reusable Agent Skills#361525
Record · ID 1144115
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive