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LLMs that excel at evolutionary search aren't just smart zero-shot reasoners; they're masters of "local refinement," making small, consistent improvements without wandering off into the semantic wilderness.
Domain-adaptive pre-training might not be worth it for French biomedical LLMs, but model merging after DAPT can actually boost performance on specialized tasks.
