RLET: A Reinforcement Learning Based Approach for Explainable QA with
Entailment Trees

RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees

31 October 2022

Qipeng Guo

Yue Zhang

Xipeng Qiu

Zheng-Wei Zhang

Papers citing "RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees"

6 / 6 papers shown

Title
Explicit Planning Helps Language Models in Logical Reasoning Hongyu Zhao Kangrui Wang Mo Yu Hongyuan Mei LRM ReLM 40 15 0 28 Mar 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 314 3,248 0 21 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 389 8,495 0 28 Jan 2022
Flexible Generation of Natural Language Deductions Kaj Bostrom Xinyu Zhao Swarat Chaudhuri Greg Durrett ReLM LRM 268 33 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 239 184 0 17 Apr 2021
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 260 620 0 04 Dec 2018