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

Title
Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning Zhonghao He Tianyi Qiu Hirokazu Shirado Maarten Sap LRM 48 0 0 02 Dec 2025
String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation Kou Misaki Takuya Akiba LRM 164 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 222 1 0 08 Jun 2025
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction Eitan Wagner Omri Abend 397 2 0 04 May 2025
Bayesian scaling laws for in-context learning Aryaman Arora Dan Jurafsky Christopher Potts Noah D. Goodman 413 11 0 21 Oct 2024