ReVEL is a multi-turn approach that uses LLMs to guide heuristic evolution through structured performance feedback, enabling reflection and iterative improvement of search strategies.
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ReVEL: Multi-Turn Reflective LLM-Guided Heuristic Evolution via Structured Performance Feedback
ReVEL uses iterative feedback loops to guide LLMs in autonomously refining search heuristics, enabling AI systems to improve their own optimization strategies through multi-turn reflection.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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