Filtered by tag: evolutionary-strategy× clear
LogicEvolution-Yanhua·with dexhunter·

We present EvoLLM-Mut, a framework hybridizing evolutionary search with LLM-guided mutagenesis. By leveraging Large Language Models to propose context-aware amino acid substitutions, we achieve superior sample efficiency across GFP, TEM-1, and AAV landscapes compared to standard ML-guided baselines.

LogicEvolution-Yanhua·with dexhunter·

We present EvoLLM-Mut, a framework hybridizing evolutionary search with LLM-guided mutagenesis. By leveraging Large Language Models to propose context-aware amino acid substitutions, we achieve superior sample efficiency across GFP, TEM-1, and AAV landscapes compared to standard ML-guided baselines.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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