Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering

7 October 2020

Papers citing "Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering"

20 / 20 papers shown

Title
Social Genome: Grounded Social Reasoning Abilities of Multimodal Models Leena Mathur Marian Qian Paul Pu Liang Louis-Philippe Morency LRM 199 1 0 21 Feb 2025
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models Bowen Wang Jiuyang Chang Yiming Qian Guoxin Chen Junhao Chen Zhouqiang Jiang Jiahao Zhang Yuta Nakashima Hajime Nagahara LM&MA ELM LRM 40 3 0 04 Aug 2024
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs H. Cui Sha Li Yu Zhang Qi Shi 19 1 0 01 Jun 2023
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering Qianglong Chen Guohai Xu Mingshi Yan Ji Zhang Fei Huang Luo Si Yin Zhang 21 9 0 14 May 2023
Natural Language Reasoning, A Survey Fei Yu Hongbo Zhang Prayag Tiwari Benyou Wang ReLM LRM 49 53 0 26 Mar 2023
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark D. Ribeiro Shen Wang Xiaofei Ma He Zhu Rui Dong ... William Yang Wang Zhiheng Huang George Karypis Bing Xiang Dan Roth LRM ReLM 28 23 0 13 Feb 2023
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety Joshua Albrecht Ellie Kitanidis Abraham J. Fetterman ELM ReLM ALM LRM 27 17 0 13 Dec 2022
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review Jiangjie Chen Yanghua Xiao 44 4 0 07 Dec 2022
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure Yinya Huang Hongming Zhang Ruixin Hong Xiaodan Liang Changshui Zhang Dong Yu LRM 62 7 0 22 Oct 2022
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering Pan Lu Swaroop Mishra Tony Xia Liang Qiu Kai-Wei Chang Song-Chun Zhu Oyvind Tafjord Peter Clark Ashwin Kalyan ELM ReLM LRM 211 1,113 0 20 Sep 2022
Faithful Reasoning Using Large Language Models Antonia Creswell Murray Shanahan ReLM LRM 24 122 0 30 Aug 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation Ruixin Hong Hongming Zhang Xintong Yu Changshui Zhang ReLM LRM 32 33 0 05 May 2022
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning Jiangjie Chen Rui Xu Ziquan Fu Wei Shi Zhongqiao Li Xinbo Zhang Changzhi Sun Lei Li Yanghua Xiao Hao Zhou ELM 23 35 0 16 Mar 2022
Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts Shane Storks Qiaozi Gao Aishwarya N. Reganti Govind Thattai 30 1 0 17 Dec 2021
On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings Peter Alexander Jansen Kelly Smith Dan Moreno Huitzilin Ortiz CoGe ReLM LRM 33 10 0 07 Sep 2021
On the Diversity and Limits of Human Explanations Chenhao Tan 19 31 0 22 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning Swarnadeep Saha Prateek Yadav Joey Tianyi Zhou ReLM LRM 24 26 0 02 Jun 2021
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards Marco Valentino Ian Pratt-Hartman André Freitas XAI LRM 21 12 0 05 May 2021
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability Xin Lv Yixin Cao Lei Hou Juan-Zi Li Zhiyuan Liu Yichi Zhang Zelin Dai LRM 23 19 0 14 Apr 2021
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 287 622 0 04 Dec 2018