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Allen Institute for AI, Department of Computer Science and Engineering, University of Washington
Allen Institute for AI (AI2)2
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LLMs still struggle with factual accuracy in specialized medical domains like pancreatic cancer, with hallucination rates varying wildly and web search integration failing to guarantee better responses.
Forget RL fine-tuning: this paper shows you can beat it at cold-start personalization with a tiny model and clever Bayesian inference over structured preference priors.
