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This paper introduces Chain-of-Experience (CoE), a framework for continual LLM improvement through iterative test-time interactions with self and environmental feedback, showing consistent gains and lower API costs across multiple domains and models.
The paper introduces Chain-of-Experience, a method for continual improvement of large language models through iterative test-time feedback, demonstrating better performance and cost efficiency across various domains.