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"

36 / 36 papers shown

Title
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Wei Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang Haozhao Wang Ruixuan Li 182 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 62 0 0 22 Jan 2025
Variational Language Concepts for Interpreting Foundation Language Models Hengyi Wang Shiwei Tan Zhiqing Hong Desheng Zhang Hao Wang 34 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 50 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 34 5 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 12 0 05 Mar 2024
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization Wei Liu Yining Qi Jun Wang Zhiying Deng Yuankai Zhang Chengwei Wang Ruixuan Li 38 9 0 07 Dec 2023
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models Antoine Louis Gijs van Dijck Gerasimos Spanakis ELM AILaw 30 35 0 29 Sep 2023
Situated Natural Language Explanations Zining Zhu Hao Jiang Jingfeng Yang Sreyashi Nag Chao Zhang Jie Huang Yifan Gao Frank Rudzicz Bing Yin LRM 44 1 0 27 Aug 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Yining Qi Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 47 12 0 23 May 2023
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification Jiasheng Si Yingjie Zhu Deyu Zhou AAML 52 3 0 16 May 2023
MGR: Multi-generator Based Rationalization Wei Liu Yining Qi Jun Wang Rui Li Xinyang Li Yuankai Zhang Yang Qiu 23 7 0 08 May 2023
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification Honglin Li Chenglu Zhu Yunlong Zhang Yuxuan Sun Zhongyi Shui Wenwei Kuang S. Zheng L. Yang 69 57 0 15 Mar 2023
Explanation Regeneration via Information Bottleneck Qintong Li Zhiyong Wu Lingpeng Kong Wei Bi 30 3 0 19 Dec 2022
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning Jiasheng Si Yingjie Zhu Deyu Zhou 37 12 0 02 Dec 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning Jiaxin Wen Yeshuang Zhu Jinchao Zhang Jie Zhou Minlie Huang CML AAML 22 8 0 29 Nov 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 194 24 0 05 Oct 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik R. Narasimhan Danqi Chen AAML 26 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 43 164 0 18 Mar 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction Dongfang Li Baotian Hu Qingcai Chen Tujie Xu Jingcong Tao Yunan Zhang 32 12 0 20 Dec 2021
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 41 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 29 152 0 02 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 45 22 0 30 Nov 2021
Few-Shot Self-Rationalization with Natural Language Prompts Ana Marasović Iz Beltagy Doug Downey Matthew E. Peters LRM 26 106 0 16 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 19 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 58 14 0 14 Sep 2021
Diagnostics-Guided Explanation Generation Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein LRM FAtt 38 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 22 66 0 12 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Joey Tianyi Zhou OODD LRM FAtt 20 91 0 01 Jun 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 27 19 0 11 May 2021
Weakly- and Semi-supervised Evidence Extraction Danish Pruthi Bhuwan Dhingra Graham Neubig Zachary Chase Lipton 4 23 0 03 Nov 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 194 201 0 22 Mar 2020
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
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 232 200 0 06 Jul 2017
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 200 296 0 15 Oct 2012