An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction

1 May 2020

Luke Zettlemoyer

Papers citing "An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction"

28 / 28 papers shown

Title
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets W. Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang H. Wang Ruixuan Li 128 1 0 04 May 2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation Duc Hau Nguyen Cyrielle Mallart Guillaume Gravier Pascale Sébillot 58 0 0 22 Jan 2025
Variational Language Concepts for Interpreting Foundation Language Models Hengyi Wang Shiwei Tan Zhiqing Hong Desheng Zhang Hao Wang 32 3 0 04 Oct 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales Lucas Resck Marcos M. Raimundo Jorge Poco 42 1 0 03 Apr 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery Linan Yue Qi Liu Yichao Du Li Wang Weibo Gao Yanqing An 30 4 0 12 Mar 2024
Learning to Maximize Mutual Information for Chain-of-Thought Distillation Xin Chen Hanxian Huang Yanjun Gao Yi Wang Jishen Zhao Ke Ding 35 11 0 05 Mar 2024
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization Wei Liu Haozhao Wang Jun Wang Zhiying Deng Yuankai Zhang Chengwei Wang Ruixuan Li 30 9 0 07 Dec 2023
Situated Natural Language Explanations Zining Zhu Hao Jiang Jingfeng Yang Sreyashi Nag Chao Zhang Jie Huang Yifan Gao Frank Rudzicz Bing Yin LRM 32 1 0 27 Aug 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Haozhao Wang Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 39 12 0 23 May 2023
MGR: Multi-generator Based Rationalization Wei Liu Haozhao Wang Jun Wang Rui Li Xinyang Li Yuankai Zhang Yang Qiu 19 7 0 08 May 2023
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning Jiasheng Si Yingjie Zhu Deyu Zhou 27 12 0 02 Dec 2022
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model Jacob Eisenstein D. Andor Bernd Bohnet Michael Collins David M. Mimno LRM 189 24 0 05 Oct 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 16 40 0 25 Apr 2022
Challenges and Strategies in Cross-Cultural NLP Daniel Hershcovich Stella Frank Heather Lent Miryam de Lhoneux Mostafa Abdou ... Ruixiang Cui Constanza Fierro Katerina Margatina Phillip Rust Anders Søgaard 41 162 0 18 Mar 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 36 41 0 16 Dec 2021
MultiVerS: Improving scientific claim verification with weak supervision and full-document context David Wadden Bertie Vidgen Lucy Lu Wang Dirk Hovy J. Pierrehumbert Hannaneh Hajishirzi 27 149 0 02 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 24 22 0 30 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension Naoya Inoue H. Trivedi Steven K. Sinha Niranjan Balasubramanian Kentaro Inui 52 14 0 14 Sep 2021
Diagnostics-Guided Explanation Generation Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein LRM FAtt 36 6 0 08 Sep 2021
Are Training Resources Insufficient? Predict First Then Explain! Myeongjun Jang Thomas Lukasiewicz LRM 21 7 0 29 Aug 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks Bhargavi Paranjape Julian Michael Marjan Ghazvininejad Luke Zettlemoyer Hannaneh Hajishirzi ReLM LRM 20 66 0 12 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Mohit Bansal OODD LRM FAtt 18 91 0 01 Jun 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 13 19 0 11 May 2021
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 201 0 22 Mar 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 255 620 0 04 Dec 2018
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 224 201 0 06 Jul 2017
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 197 296 0 15 Oct 2012