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LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling
AutoTTS framework proposes using agentic methods to let LLMs automatically discover and apply test-time scaling strategies, replacing manual heuristics with environment-driven search.
Proposes AutoTTS, an environment-driven framework using agentic methods for LLMs to discover and apply test-time scaling strategies, shifting from manual heuristics to automated discovery.
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