FERMAT: An Alternative to Accuracy for Numerical Reasoning

27 May 2023

Papers citing "FERMAT: An Alternative to Accuracy for Numerical Reasoning"

6 / 6 papers shown

Title
How to Leverage Digit Embeddings to Represent Numbers? Jasivan Sivakumar N. Moosavi 21 0 0 01 Jul 2024
Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception Yuncheng Huang Qi He Jiaqing Liang Sihang Jiang Yanghua Xiao Yunwen Chen LRM 57 2 0 29 Dec 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 293 4,077 0 24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,448 0 28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 211 1,656 0 15 Oct 2021
PubMedQA: A Dataset for Biomedical Research Question Answering Qiao Jin Bhuwan Dhingra Zhengping Liu William W. Cohen Xinghua Lu 205 807 0 13 Sep 2019