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News/Amortizing Sequential Experimental Design in Reasoning LLMs
arxiv
PublishedOctober 16, 2026 at 4:00 AM

Amortizing Sequential Experimental Design in Reasoning LLMs

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arXiv:2610.20832v1 Announce Type: cross Abstract: Despite their extensive pretraining knowledge and strong reasoning capabilities, large language models (LLMs) struggle to adaptively gather information in experimental design tasks. We study how to amortize sequential Bayesian experimental design (BE

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