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Rationalizing Neural Predictions

13 June 2016

Papers citing "Rationalizing Neural Predictions"

50 / 327 papers shown

Title
LAMP: Extracting Locally Linear Decision Surfaces from LLM World Models Ryan Chen Youngmin Ko Zeyu Zhang Catherine Cho Sunny Chung Mauro Giuffré Dennis L. Shung Bradly C. Stadie 183 0 0 17 May 2025
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 122 0 0 07 May 2025
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Wen Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang Haobo Wang Ruixuan Li 549 1 0 04 May 2025
AI Awareness Xianrui Li Haoyuan Shi Rongwu Xu Wei Xu 140 0 0 25 Apr 2025
Learning to Discover Regulatory Elements for Gene Expression Prediction Xingyu Su Haiyang Yu D. Zhi Shuiwang Ji 66 0 0 19 Feb 2025
B-cos LM: Efficiently Transforming Pre-trained Language Models for Improved Explainability Yifan Wang Sukrut Rao Ji-Ung Lee Mayank Jobanputra Vera Demberg 9 0 0 18 Feb 2025
BEExAI: Benchmark to Evaluate Explainable AI Samuel Sithakoul Sara Meftah Clément Feutry 96 10 0 29 Jul 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 138 16 0 27 Jul 2024
CAVE: Controllable Authorship Verification Explanations Sahana Ramnath Kartik Pandey Elizabeth Boschee Xiang Ren 172 2 0 24 Jun 2024
Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs Valeriia Cherepanova James Zou AAML 102 6 0 26 Apr 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery Linan Yue Qi Liu Yichao Du Li Wang Weibo Gao Yanqing An 82 5 0 12 Mar 2024
ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models Zhixue Zhao Boxuan Shan 121 5 0 01 Feb 2024
Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck Josh Magnus Ludan Qing Lyu Yue Yang Liam Dugan Mark Yatskar Chris Callison-Burch 89 5 0 30 Oct 2023
Interpretable Graph Neural Networks for Tabular Data Amr Alkhatib Sofiane Ennadir Henrik Bostrom Michalis Vazirgiannis LMTD 102 5 0 17 Aug 2023
Query Understanding in the Age of Large Language Models Avishek Anand Venktesh V Abhijit Anand Vinay Setty LRM 111 5 0 28 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 98 21 0 03 Jun 2023
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs H. Cui Sha Li Yu Zhang Qi Shi 129 1 0 01 Jun 2023
Unsupervised Selective Rationalization with Noise Injection Adam Storek Melanie Subbiah Kathleen McKeown 61 4 0 27 May 2023
Give Me More Details: Improving Fact-Checking with Latent Retrieval Xuming Hu Guan-Huei Wu Zhijiang Guo Philip S. Yu HILM 112 4 0 25 May 2023
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations Wenting Zhao Justin T. Chiu Claire Cardie Alexander M. Rush LRM 69 20 0 24 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 99 14 0 23 May 2023
Distilling ChatGPT for Explainable Automated Student Answer Assessment Jiazheng Li Lin Gui Yuxiang Zhou David West Cesare Aloisi Yulan He 79 28 0 22 May 2023
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification Jiasheng Si Yingjie Zhu Deyu Zhou AAML 131 4 0 16 May 2023
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models Wei-Lin Chen An-Zi Yen Cheng-Kuang Wu Hen-Hsen Huang Hsin-Hsi Chen ReLM LRM 54 11 0 12 May 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks Fanny Jourdan Agustin Picard Thomas Fel Laurent Risser Jean-Michel Loubes Nicholas M. Asher 64 8 0 11 May 2023
ExClaim: Explainable Neural Claim Verification Using Rationalization Sai Gurrapu Lifu Huang Feras A. Batarseh AAML 94 9 0 21 Jan 2023
Rationalizing Predictions by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 72 7 0 15 Jan 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 76 42 0 07 Dec 2022
Explainability as statistical inference Hugo Senetaire Damien Garreau J. Frellsen Pierre-Alexandre Mattei FAtt 96 4 0 06 Dec 2022
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning Jiasheng Si Yingjie Zhu Deyu Zhou 109 16 0 02 Dec 2022
SOLD: Sinhala Offensive Language Dataset Tharindu Ranasinghe Isuri Anuradha Damith Premasiri Kanishka Silva Hansi Hettiarachchi Lasitha Uyangodage Marcos Zampieri 108 8 0 01 Dec 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning Jiaxin Wen Yeshuang Zhu Jinchao Zhang Jie Zhou Minlie Huang CML AAML 123 9 0 29 Nov 2022
Unsupervised Explanation Generation via Correct Instantiations Sijie Cheng Zhiyong Wu Jiangjie Chen Zhixing Li Yang Liu Lingpeng Kong ReLM LRM 80 5 0 21 Nov 2022
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods Josip Jukić Martin Tutek Jan Snajder FAtt 81 0 0 15 Nov 2022
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective Linyi Yang Shuibai Zhang Libo Qin Yafu Li Yidong Wang Hanmeng Liu Jindong Wang Xingxu Xie Yue Zhang ELM 191 82 0 15 Nov 2022
Towards Human-Centred Explainability Benchmarks For Text Classification Viktor Schlegel Erick Mendez Guzman Riza Batista-Navarro 96 5 0 10 Nov 2022
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection Jiyun Kim Byounghan Lee Kyung-ah Sohn 78 14 0 01 Nov 2022
R $^2$ F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference Hao Wang Yixin Cao Yangguang Li Zhen Huang Kun Wang Jing Shao FedML 73 0 0 22 Oct 2022
On the Impact of Temporal Concept Drift on Model Explanations Zhixue Zhao G. Chrysostomou Kalina Bontcheva Nikolaos Aletras 101 16 0 17 Oct 2022
Controlling Bias Exposure for Fair Interpretable Predictions Zexue He Yu Wang Julian McAuley Bodhisattwa Prasad Majumder 60 19 0 14 Oct 2022
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions Bodhisattwa Prasad Majumder Zexue He Julian McAuley 63 6 0 14 Oct 2022
Self-explaining deep models with logic rule reasoning Seungeon Lee Xiting Wang Sungwon Han Xiaoyuan Yi Xing Xie M. Cha NAI ReLM LRM 96 17 0 13 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 67 88 0 13 Oct 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 308 25 0 05 Oct 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 140 27 0 04 Oct 2022
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 246 121 0 22 Sep 2022
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task Ricardo Rei Marcos Vinícius Treviso Nuno M. Guerreiro Chrysoula Zerva Ana C. Farinha ... T. Glushkova Duarte M. Alves A. Lavie Luísa Coheur André F. T. Martins 225 159 0 13 Sep 2022
The Role of Explanatory Value in Natural Language Processing Kees van Deemter XAI 44 0 0 13 Sep 2022
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini Luca Franceschi Mathias Niepert 103 11 0 11 Sep 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension Xanh Ho Johannes Mario Meissner Saku Sugawara Akiko Aizawa OffRL 92 4 0 05 Sep 2022