Enough Coin Flips Can Make LLMs Act Bayesian

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Enough Coin Flips Can Make LLMs Act Bayesian

Annual Meeting of the Association for Computational Linguistics (ACL), 2025

6 March 2025

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Papers citing "Enough Coin Flips Can Make LLMs Act Bayesian"

6 / 6 papers shown

Title
Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning Zhonghao He Tianyi Qiu Hirokazu Shirado Maarten Sap LRM 76 0 0 02 Dec 2025
String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation Kou Misaki Takuya Akiba LRM 180 0 0 24 Oct 2025
Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling Tim Z. Xiao Johannes Zenn Zhen Liu Weiyang Liu Kushagra Pandey Bernhard Scholkopf 191 0 0 11 Jun 2025
Pre-trained Large Language Models Learn Hidden Markov Models In-context Yijia Dai Zhaolin Gao Yahya Sattar Sarah Dean Jennifer J. Sun 242 1 0 08 Jun 2025
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction Eitan Wagner Omri Abend 421 2 0 04 May 2025
Bayesian scaling laws for in-context learning Aryaman Arora Dan Jurafsky Christopher Potts Noah D. Goodman 437 11 0 21 Oct 2024