Enhancing Quantitative Reasoning Skills of Large Language Models through
Dimension Perception

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception

29 December 2023

Sihang Jiang

Yanghua Xiao

Papers citing "Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception"

6 / 6 papers shown

Title
Do Language Models Understand Measurements? Sungjin Park Seung-kook Ryu E. Choi ReLM LRM 31 4 0 23 Oct 2022
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 233 2,470 0 06 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 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 8,402 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 205 1,654 0 15 Oct 2021
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013