Can Rationalization Improve Robustness?

25 April 2022

Papers citing "Can Rationalization Improve Robustness?"

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 164 1 0 04 May 2025
Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey Ahsan Bilal Muhammad Ahmed Mohsin Muhammad Umer Muhammad Awais Khan Bangash Muhammad Ali Jamshed LLMAG LRM AI4CE 56 0 0 20 Apr 2025
Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization Wei Liu Zhiying Deng Zhongyu Niu Jun Wang Yining Qi Zhigang Zeng Ruixuan Li 47 2 0 08 Mar 2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation Duc Hau Nguyen Cyrielle Mallart Guillaume Gravier Pascale Sébillot 60 0 0 22 Jan 2025
Boosting Explainability through Selective Rationalization in Pre-trained Language Models Libing Yuan Shuaibo Hu Kui Yu Le Wu LRM 31 0 0 03 Jan 2025
Adversarial Attack for Explanation Robustness of Rationalization Models Yuankai Zhang Lingxiao Kong Haozhao Wang Ruixuan Li Jun Wang Yuhua Li Wei Liu AAML 37 1 0 20 Aug 2024
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions Harrie Oosterhuis Lijun Lyu Avishek Anand FAtt 35 1 0 16 Jul 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 39 5 0 01 Apr 2024
Prospector Heads: Generalized Feature Attribution for Large Models & Data Gautam Machiraju Alexander Derry Arjun D Desai Neel Guha Amir-Hossein Karimi James Zou Russ Altman Christopher Ré Parag Mallick AI4TS MedIm 48 0 0 18 Feb 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
Rationale-Enhanced Language Models are Better Continual Relation Learners Weimin Xiong Yifan Song Peiyi Wang Sujian Li KELM LRM CLL 13 10 0 10 Oct 2023
D-Separation for Causal Self-Explanation Wei Liu Jun Wang Yining Qi Rui Li Zhiying Deng YuanKai Zhang Yang Qiu 82 14 0 23 Sep 2023
AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions Son Quoc Tran Gia-Huy Do Phong Nguyen-Thuan Do Matt Kretchmar Xinya Du 23 0 0 10 Sep 2023
Single-Sentence Reader: A Novel Approach for Addressing Answer Position Bias Son Quoc Tran Matt Kretchmar 21 0 0 08 Aug 2023
Discovering Spatio-Temporal Rationales for Video Question Answering Yicong Li Junbin Xiao Chun Feng Xiang Wang Tat-Seng Chua 25 13 0 22 Jul 2023
Towards Trustworthy Explanation: On Causal Rationalization Wenbo Zhang Tong Wu Yunlong Wang Yong Cai Hengrui Cai CML 24 18 0 25 Jun 2023
Rethinking Document-Level Relation Extraction: A Reality Check Jing Li Yequan Wang Shuai Zhang Min Zhang 24 12 0 15 Jun 2023
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation Marcos Vinícius Treviso Alexis Ross Nuno M. Guerreiro André F.T. Martins 29 16 0 26 May 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
Explanation-based Finetuning Makes Models More Robust to Spurious Cues Josh Magnus Ludan Yixuan Meng Nguyen Tai Saurabh Shah Qing Lyu Marianna Apidianaki Chris Callison-Burch AAML LRM 28 17 0 08 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
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting Miles Turpin Julian Michael Ethan Perez Sam Bowman ReLM LRM 29 387 0 07 May 2023
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models Son Quoc Tran Phong Nguyen-Thuan Do Uyen Le Matt Kretchmar ELM AAML 30 7 0 31 Jan 2023
Does Self-Rationalization Improve Robustness to Spurious Correlations? Alexis Ross Matthew E. Peters Ana Marasović LRM 27 11 0 24 Oct 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 53 11 0 20 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie-jin Yang 27 10 0 17 Oct 2022
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 114 107 0 22 Sep 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension Xanh Ho Johannes Mario Meissner Saku Sugawara Akiko Aizawa OffRL 35 4 0 05 Sep 2022
Learning to Ignore Adversarial Attacks Yiming Zhang Yan Zhou Samuel Carton Chenhao Tan 51 2 0 23 May 2022
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning Xi Ye Greg Durrett ReLM LRM 36 168 0 06 May 2022
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 133 35 0 16 Dec 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 282 170 0 24 Oct 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 182 201 0 22 Mar 2020
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 205 712 0 17 Apr 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