Tag: Bayesian
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Teaching LLMs to Ask Smarter Questions: Bayesian Experimental Design for Multi-Turn Information Gathering
Large Language Models (LLMs) have shown remarkable capabilities in understanding and generating text, but they struggle with adaptive, multi-turn information gathering – i.e. asking relevant follow-up questions based on previous answers. The paper “BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design” (arXiv:2508.21184) addresses this shortcoming by introducing a new approach that enables LLMs…