Explicit Planning Helps Language Models in Logical Reasoning

28 March 2023

Papers citing "Explicit Planning Helps Language Models in Logical Reasoning"

8 / 8 papers shown

Title
Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering Deepanway Ghosal Navonil Majumder Rada Mihalcea Soujanya Poria 37 6 0 29 Oct 2022
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought Abulhair Saparov He He ELM LRM ReLM 116 270 0 03 Oct 2022
On the Paradox of Learning to Reason from Data Honghua Zhang Liunian Harold Li Tao Meng Kai-Wei Chang Guy Van den Broeck NAI ReLM OOD LRM 132 102 0 23 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 313 8,261 0 28 Jan 2022
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models Gregor Betz Kyle Richardson 10 8 0 04 Oct 2021
Flexible Generation of Natural Language Deductions Kaj Bostrom Xinyu Zhao Swarat Chaudhuri Greg Durrett ReLM LRM 248 33 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Explaining Answers with Entailment Trees Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Zhengnan Xie Hannah Smith Leighanna Pipatanangkura Peter Clark ReLM FAtt LRM 235 184 0 17 Apr 2021