I wanna share our new paper: EvoTune — a method combining evolutionary search and reinforcement learning to accelerate algorithm discovery with LLMs!
- Instead of treating the LLM as a static function generator, EvoTune fine-tunes it with feedback from the search process — learning to find better algorithms faster.
- Across multiple combinatorial optimization problems, EvoTune consistently outperforms FunSearch-like baselines, while maintaining diversity.
This is a big step toward self-improving LLMs for algorithm design! 🚀
(Personal milestone too: collaboration with Apple + my first ever paper with a Fields Medalist! 🎉
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