HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale
Supervision

HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision

23 May 2023

Alexander M. Rush

Papers citing "HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision"

17 / 17 papers shown

Title
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Hashmath Shaik Alex Doboli OffRL ELM 371 0 0 31 Dec 2024
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 752 9,330 0 28 Jan 2022
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation Chen Zhao Chenyan Xiong Jordan L. Boyd-Graber Hal Daumé RALM 42 10 0 10 Oct 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 53 141 0 24 Feb 2021
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 74 26 0 07 Oct 2020
A Simple Yet Strong Pipeline for HotpotQA Dirk Groeneveld Tushar Khot Mausam Ashish Sabharwal 43 40 0 14 Apr 2020
Hierarchical Graph Network for Multi-hop Question Answering Yuwei Fang S. Sun Zhe Gan R. Pillai Shuohang Wang Jingjing Liu 85 171 0 09 Nov 2019
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents Ming Tu Kevin Huang Guangtao Wang Jing-ling Huang Xiaodong He Bowen Zhou RALM 67 145 0 01 Nov 2019
Multi-hop Question Answering via Reasoning Chains Jifan Chen Shih-Ting Lin Greg Durrett ReLM LRM 61 74 0 07 Oct 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 216 7,481 0 02 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 577 24,422 0 26 Jul 2019
SpanBERT: Improving Pre-training by Representing and Predicting Spans Mandar Joshi Danqi Chen Yinhan Liu Daniel S. Weld Luke Zettlemoyer Omer Levy 133 1,964 0 24 Jul 2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning Sewon Min Eric Wallace Sameer Singh Matt Gardner Hannaneh Hajishirzi Luke Zettlemoyer 82 149 0 07 Jun 2019
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs Ming Tu Guangtao Wang Jing-ling Huang Yun Tang Xiaodong He Bowen Zhou 59 149 0 17 May 2019
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering Zhilin Yang Peng Qi Saizheng Zhang Yoshua Bengio William W. Cohen Ruslan Salakhutdinov Christopher D. Manning RALM 152 2,647 0 25 Sep 2018
FEVER: a large-scale dataset for Fact Extraction and VERification James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal HILM 132 1,650 0 14 Mar 2018
Constructing Datasets for Multi-hop Reading Comprehension Across Documents Johannes Welbl Pontus Stenetorp Sebastian Riedel SyDa RALM 91 511 0 17 Oct 2017