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What Are the Odds? Language Models Are Capable of Probabilistic
  Reasoning

What Are the Odds? Language Models Are Capable of Probabilistic Reasoning

18 June 2024
Akshay Paruchuri
Jake Garrison
Shun Liao
John Hernandez
Jacob Sunshine
Tim Althoff
Xin Liu
Daniel J. McDuff
    LRM
ArXivPDFHTML

Papers citing "What Are the Odds? Language Models Are Capable of Probabilistic Reasoning"

4 / 4 papers shown
Title
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Liaoyaqi Wang
Zhengping Jiang
Anqi Liu
Benjamin Van Durme
52
0
0
02 May 2025
Base Models Beat Aligned Models at Randomness and Creativity
Base Models Beat Aligned Models at Randomness and Creativity
Peter West
Christopher Potts
58
0
0
30 Apr 2025
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Nate Gillman
Daksh Aggarwal
Michael Freeman
Saurabh Singh
Chen Sun
AI4TS
41
3
0
29 Oct 2024
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
4,048
0
24 May 2022
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