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

John Hernandez

Daniel J. McDuff

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

7 / 7 papers shown

Title
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions Nate Gillman Daksh Aggarwal Michael Freeman Saurabh Singh Chen Sun AI4TS 56 3 0 29 Oct 2024
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 180 13,788 0 15 Mar 2023
A Survey of Deep Learning for Mathematical Reasoning Pan Lu Liang Qiu Wenhao Yu Sean Welleck Kai-Wei Chang ReLM LRM 72 142 0 20 Dec 2022
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model BigScience Workshop : Teven Le Scao Angela Fan Christopher Akiki ... Zhongli Xie Zifan Ye M. Bras Younes Belkada Thomas Wolf VLM 242 2,348 0 09 Nov 2022
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning Zhicheng YANG Jinghui Qin Jiaqi Chen Liang Lin Xiaodan Liang ReLM LRM 45 31 0 17 May 2022
Generated Knowledge Prompting for Commonsense Reasoning Jiacheng Liu Alisa Liu Ximing Lu Sean Welleck Peter West Ronan Le Bras Yejin Choi Hannaneh Hajishirzi KELM RALM ReLM LLMAG LRM 74 317 0 15 Oct 2021
Analysing Mathematical Reasoning Abilities of Neural Models D. Saxton Edward Grefenstette Felix Hill Pushmeet Kohli LRM 68 420 0 02 Apr 2019