Explain Yourself! Leveraging Language Models for Commonsense Reasoning

6 June 2019

Papers citing "Explain Yourself! Leveraging Language Models for Commonsense Reasoning"

50 / 161 papers shown

Title
Generated Knowledge Prompting for Commonsense Reasoning Jiacheng Liu Alisa Liu Ximing Lu Sean Welleck Peter West Ronan Le Bras Yejin Choi Hannaneh Hajishirzi KELM RALM ReLM LLMAG LRM 58 314 0 15 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 54 16 0 14 Oct 2021
Recursively Summarizing Books with Human Feedback Jeff Wu Long Ouyang Daniel M. Ziegler Nissan Stiennon Ryan J. Lowe Jan Leike Paul Christiano ALM 48 297 0 22 Sep 2021
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings Hendrik Schuff Hsiu-yu Yang Heike Adel Ngoc Thang Vu ELM ReLM LRM 49 13 0 16 Sep 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension Naoya Inoue H. Trivedi Steven K. Sinha Niranjan Balasubramanian Kentaro Inui 58 14 0 14 Sep 2021
Combining Transformers with Natural Language Explanations Federico Ruggeri Marco Lippi Paolo Torroni 25 1 0 02 Sep 2021
Are Training Resources Insufficient? Predict First Then Explain! Myeongjun Jang Thomas Lukasiewicz LRM 26 7 0 29 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 120 3,858 0 28 Jul 2021
Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentation Anne Lauscher Henning Wachsmuth Iryna Gurevych Goran Glavaš 43 31 0 01 Jul 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder Oana-Maria Camburu Thomas Lukasiewicz Julian McAuley 35 35 0 25 Jun 2021
On the Diversity and Limits of Human Explanations Chenhao Tan 24 31 0 22 Jun 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks Bhargavi Paranjape Julian Michael Marjan Ghazvininejad Luke Zettlemoyer Hannaneh Hajishirzi ReLM LRM 32 67 0 12 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning Swarnadeep Saha Prateek Yadav Joey Tianyi Zhou ReLM LRM 27 26 0 02 Jun 2021
Conversational Question Answering: A Survey Munazza Zaib Wei Emma Zhang Quan Z. Sheng A. Mahmood Yang Zhang 48 88 0 02 Jun 2021
Encoding Explanatory Knowledge for Zero-shot Science Question Answering Zili Zhou Marco Valentino Dónal Landers André Freitas 16 7 0 12 May 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks Maxime Kayser Oana-Maria Camburu Leonard Salewski Cornelius Emde Virginie Do Zeynep Akata Thomas Lukasiewicz VLM 31 100 0 08 May 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 31 12 0 05 May 2021
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks Lisa Bauer Mohit Bansal 19 19 0 20 Apr 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 234 181 0 18 Apr 2021
Flexible Generation of Natural Language Deductions Kaj Bostrom Xinyu Zhao Swarat Chaudhuri Greg Durrett ReLM LRM 270 33 0 18 Apr 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 30 45 0 16 Apr 2021
NAREOR: The Narrative Reordering Problem Varun Gangal Steven Y. Feng Malihe Alikhani Teruko Mitamura Eduard H. Hovy 37 26 0 14 Apr 2021
Explaining the Road Not Taken Hua Shen Ting-Hao 'Kenneth' Huang FAtt XAI 37 9 0 27 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 48 48 0 20 Mar 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 32 87 0 03 Feb 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 53 170 0 13 Jan 2021
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation Yiran Xing Z. Shi Zhao Meng Gerhard Lakemeyer Yunpu Ma Roger Wattenhofer VLM 74 40 0 02 Jan 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging Han Guo Nazneen Rajani Peter Hase Joey Tianyi Zhou Caiming Xiong TDI 46 102 0 31 Dec 2020
Explaining NLP Models via Minimal Contrastive Editing (MiCE) Alexis Ross Ana Marasović Matthew E. Peters 43 121 0 27 Dec 2020
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement Yinya Huang Meng Fang Xunlin Zhan Qingxing Cao Xiaodan Liang Liang Lin 35 9 0 24 Dec 2020
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language Oyvind Tafjord Bhavana Dalvi Peter Clark 21 261 0 24 Dec 2020
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection Binny Mathew Punyajoy Saha Seid Muhie Yimam Chris Biemann Pawan Goyal Animesh Mukherjee 77 552 0 18 Dec 2020
LIREx: Augmenting Language Inference with Relevant Explanation Xinyan Zhao V. Vydiswaran LRM 36 38 0 16 Dec 2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision Faeze Brahman Vered Shwartz Rachel Rudinger Yejin Choi LRM 25 42 0 14 Dec 2020
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 48 38 0 03 Dec 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 32 25 0 07 Oct 2020
PRover: Proof Generation for Interpretable Reasoning over Rules Swarnadeep Saha Sayan Ghosh Shashank Srivastava Joey Tianyi Zhou ReLM LRM 39 77 0 06 Oct 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 38 26 0 04 Oct 2020
A Survey on Explainability in Machine Reading Comprehension Mokanarangan Thayaparan Marco Valentino André Freitas FaML 25 50 0 01 Oct 2020
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths Haozhe Ji Pei Ke Shaohan Huang Furu Wei Minlie Huang ReLM LRM 27 24 0 24 Sep 2020
GeDi: Generative Discriminator Guided Sequence Generation Ben Krause Akhilesh Deepak Gotmare Bryan McCann N. Keskar Chenyu You R. Socher Nazneen Rajani 56 392 0 14 Sep 2020
SemEval-2020 Task 4: Commonsense Validation and Explanation Cunxiang Wang Shuailong Liang Yili Jin Yilong Wang Xiao-Dan Zhu Yue Zhang LRM 25 98 0 01 Jul 2020
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig Ali Madani Lav Varshney Caiming Xiong R. Socher Nazneen Rajani 34 289 0 26 Jun 2020
NILE : Natural Language Inference with Faithful Natural Language Explanations Sawan Kumar Partha P. Talukdar XAI LRM 27 160 0 25 May 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions Xiaochuang Han Byron C. Wallace Yulia Tsvetkov MILM FAtt AAML TDI 28 165 0 14 May 2020
Commonsense Evidence Generation and Injection in Reading Comprehension Ye Liu Tao Yang Zeyu You Wei Fan Philip S. Yu 33 14 0 11 May 2020
Teaching Machine Comprehension with Compositional Explanations Qinyuan Ye Xiao Huang Elizabeth Boschee Xiang Ren LRM ReLM 29 34 0 02 May 2020
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning Edoardo Ponti Goran Glavaš Olga Majewska Qianchu Liu Ivan Vulić Anna Korhonen LRM 24 308 0 01 May 2020
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning Tao Shen Yi Mao Pengcheng He Guodong Long Adam Trischler Weizhu Chen 22 63 0 29 Apr 2020
Generating Fact Checking Explanations Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein 36 189 0 13 Apr 2020