Agents & InferencearXiv

Don't Forget What You Just Learned: Self-Directed Repair Turns Agent Mistakes Into Lasting Lessons

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Summary A

Agents can now learn from mistakes with a new mechanism called Self-Direction, which adds adapters equivalent to ~0.02% of the base model's parameter count for each lesson learned, improving overall success rates by 8.9 to 17.0 percentage points and nearly doubling the reliability of an agent's corrections, enabling more robust and reliable LLM-based systems in production.

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