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cs.AI2026
From Prompts to Posteriors: Can LLM Agents Perform Bayesian Inference in Context?
Linus Filbry, Luckeciano C. Melo, Yarin Gal
Large language models (LLMs) are increasingly applied across the scientific discovery pipeline, from synthesizing literature to generating hypotheses to informing experimental desi…
cs.AI2026
Partial Reasoning in Language Models: Search and Refinement Guided by Uncertainty
Murilo da Luz, Bruno Brandão, Luana Martins +4
The use of Large Language Models (LLMs) for reasoning and planning tasks has drawn increasing attention in Artificial Intelligence research. Despite their remarkable progress, thes…