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ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning

Via ArXiv cs.AI
Tuesday, May 19, 2026 ยท 4:00AM
Summary

arXiv:2605.16309v1 Announce Type: new Abstract: LLM-based agents can recover from individual execution errors, yet they repeatedly fail on the same fault when the underlying process knowledge--operator schemas, preconditions, and constraints--remains unrepaired. Existing self-evolving approaches add

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Read at ArXiv cs.AI
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