ANNEAL uses Failure-Driven Knowledge Acquisition to localize faults, generate validated symbolic patches, and commit persistent repairs to a knowledge graph, achieving 0% recurring failure rates where baselines retain 72-100%.
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ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning
ANNEAL uses Failure-Driven Knowledge Acquisition to localize faults, generate validated symbolic patches, and commit persistent repairs to a knowledge graph, achieving 0% recurring failure rates where baselines retain 72-100%.