# Amortizing Sequential Experimental Design in Reasoning LLMs > Source: > Published: 2026-10-29 15:00:05+00:00 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 (BED) into an LLM by explicitly training the reasonin