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Enough Coin Flips Can Make LLMs Act Bayesian
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Enough Coin Flips Can Make LLMs Act Bayesian

Ritwik Gupta
Rodolfo Corona
Jiaxin Ge
Eric Wang
Dan Klein
Trevor Darrell
David M. Chan
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Papers citing "Enough Coin Flips Can Make LLMs Act Bayesian"

3 / 3 papers shown
Title
Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling
Tim Z. Xiao
Johannes Zenn
Zhen Liu
Weiyang Liu
Robert Bamler
Bernhard Scholkopf
49
0
0
11 Jun 2025
Pre-trained Large Language Models Learn Hidden Markov Models In-context
Pre-trained Large Language Models Learn Hidden Markov Models In-context
Yijia Dai
Zhaolin Gao
Yahya Sattar
Sarah Dean
Jennifer J. Sun
17
0
0
08 Jun 2025
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction
Eitan Wagner
Omri Abend
139
1
0
04 May 2025

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