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University of Illinois Urbana-Champaign
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Human calibration, rather than just data scale or prompts, is the key to achieving scenario-specific turn-taking in AI dialogues.
Forget prompt engineering and fine-tuning: this "Reasoning Inception" method injects targeted reasoning into LLM agents at test time to fix conversational errors on the fly.
