Chain-of-Experience Enables LLMs to Improve via Iterative Feedback
August 17, 2026
The Chain-of-Experience (CoE) framework allows LLMs to improve during inference by accumulating experiential traces from self-feedback or environmental signals like coding test pass rates. Testing on models like GPT-5 and Claude-4.5 Sonnet shows performance gains in math, coding, and knowledge domains through this continual improvement loop.
HOW THIS AFFECTS YOU
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builderYou can implement iterative feedback loops to improve model performance at inference time.
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researcherThis shifts the focus from zero-shot performance to test-time learning capabilities.