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2005.00652
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An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
1 May 2020
Bhargavi Paranjape
Mandar Joshi
John Thickstun
Hannaneh Hajishirzi
Luke Zettlemoyer
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Papers citing
"An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction"
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Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification
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1
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09 Jun 2025
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
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Zhongyu Niu
Lang Gao
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04 May 2025
Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
International Conference on Learning Representations (ICLR), 2025
Wen Liu
Zhiying Deng
Zhongyu Niu
Jun Wang
Yining Qi
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446
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0
08 Mar 2025
Learning to Discover Regulatory Elements for Gene Expression Prediction
International Conference on Learning Representations (ICLR), 2025
Xingyu Su
Haiyang Yu
D. Zhi
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311
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19 Feb 2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation
International Conference on Applications of Natural Language to Data Bases (NLDB), 2025
Duc Hau Nguyen
Cyrielle Mallart
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Pascale Sébillot
348
1
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22 Jan 2025
Variational Language Concepts for Interpreting Foundation Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Hengyi Wang
Shiwei Tan
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430
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04 Oct 2024
Adversarial Attack for Explanation Robustness of Rationalization Models
European Conference on Artificial Intelligence (ECAI), 2024
Yuankai Zhang
Lingxiao Kong
Haozhao Wang
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Jun Wang
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Wei Liu
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430
1
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Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions
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368
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16 Jul 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
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363
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03 Apr 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
International Conference on Learning Representations (ICLR), 2024
Linan Yue
Qi Liu
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Weibo Gao
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374
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0
12 Mar 2024
Learning to Maximize Mutual Information for Chain-of-Thought Distillation
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Hanxian Huang
Yanjun Gao
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Ke Ding
411
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Plausible Extractive Rationalization through Semi-Supervised Entailment Signal
Yeo Wei Jie
Frank Xing
Xiaoshi Zhong
428
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13 Feb 2024
Dynamic Graph Information Bottleneck
The Web Conference (WWW), 2024
Haonan Yuan
Qingyun Sun
Xingcheng Fu
Cheng Ji
Jianxin Li
AAML
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472
20
0
09 Feb 2024
SIDU-TXT: An XAI Algorithm for NLP with a Holistic Assessment Approach
Natural Language Processing Journal (JNLP), 2024
M. N. Jahromi
Satya M. Muddamsetty
Asta Sofie Stage Jarlner
Anna Murphy Hogenhaug
Thomas Gammeltoft-Hansen
T. Moeslund
326
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Enhancing the Rationale-Input Alignment for Self-explaining Rationalization
Wei Liu
Yining Qi
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Zhiying Deng
Yuankai Zhang
Chengwei Wang
Ruixuan Li
330
18
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07 Dec 2023
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
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Jiaming Shen
Tianqi Liu
Zhen Qin
Jing Nathan Yan
Jialu Liu
Chao Zhang
Michael Bendersky
313
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Text Representation Distillation via Information Bottleneck Principle
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372
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REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization
Conference on Computational Natural Language Learning (CoNLL), 2023
Mohammad Reza Ghasemi Madani
Pasquale Minervini
312
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22 Oct 2023
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making
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Sendong Zhao
Hao Wang
Yuhan Chen
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205
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20 Oct 2023
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
AAAI Conference on Artificial Intelligence (AAAI), 2023
Antoine Louis
Gijs van Dijck
Gerasimos Spanakis
ELM
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283
88
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29 Sep 2023
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
Neural Information Processing Systems (NeurIPS), 2023
Chenhang Cui
Yazhou Ren
Jingyu Pu
Jiawei Li
X. Pu
Tianyi Wu
Yutao Shi
Lifang He
310
53
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25 Sep 2023
D-Separation for Causal Self-Explanation
Neural Information Processing Systems (NeurIPS), 2023
Wei Liu
Jun Wang
Yining Qi
Rui Li
Zhiying Deng
YuanKai Zhang
Yang Qiu
373
26
0
23 Sep 2023
Situated Natural Language Explanations
Zining Zhu
Hao Jiang
Jingfeng Yang
Jiapeng Liu
Chao Zhang
Jie Huang
Yifan Gao
Frank Rudzicz
Bing Yin
LRM
356
2
0
27 Aug 2023
Towards Trustworthy Explanation: On Causal Rationalization
International Conference on Machine Learning (ICML), 2023
Wenbo Zhang
Tong Wu
Yunlong Wang
Yong Cai
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513
25
0
25 Jun 2023
TPDM: Selectively Removing Positional Information for Zero-shot Translation via Token-Level Position Disentangle Module
Xingran Chen
Ge Zhang
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239
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Unsupervised Selective Rationalization with Noise Injection
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Adam Storek
Melanie Subbiah
Kathleen McKeown
307
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27 May 2023
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Marcos Vinícius Treviso
Alexis Ross
Nuno M. Guerreiro
André F.T. Martins
327
28
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Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint
Knowledge Discovery and Data Mining (KDD), 2023
Wei Liu
Jun Wang
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Rui Li
Yang Qiu
Yuankai Zhang
Jie Han
Yixiong Zou
345
18
0
23 May 2023
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification
Jiasheng Si
Yingjie Zhu
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AAML
411
5
0
16 May 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Fanny Jourdan
Agustin Picard
Thomas Fel
Laurent Risser
Jean-Michel Loubes
Nicholas M. Asher
296
17
0
11 May 2023
MGR: Multi-generator Based Rationalization
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Wei Liu
Yining Qi
Jun Wang
Rui Li
Xinyang Li
Yuankai Zhang
Yang Qiu
628
15
0
08 May 2023
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Xuming Hu
Zhaochen Hong
Chenwei Zhang
Irwin King
Philip S. Yu
215
10
0
02 May 2023
SLM: End-to-end Feature Selection via Sparse Learnable Masks
Yihe Dong
Sercan O. Arik
258
3
0
06 Apr 2023
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification
Computer Vision and Pattern Recognition (CVPR), 2023
Honglin Li
Chenglu Zhu
Yunlong Zhang
Yuxuan Sun
Honglin Li
Wenwei Kuang
S. Zheng
Ling Yang
325
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Rationalizing Predictions by Adversarial Information Calibration
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Oana-Maria Camburu
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291
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Xiang Zhou
Yixin Wan
Xiaoqing Zheng
Kai-Wei Chang
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Can Rationalization Improve Robustness?
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
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Jacqueline He
Karthik Narasimhan
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Challenges and Strategies in Cross-Cultural NLP
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Daniel Hershcovich
Stella Frank
Heather Lent
Miryam de Lhoneux
Mostafa Abdou
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Phillip Rust
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401
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Are Shortest Rationales the Best Explanations for Human Understanding?
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
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240
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257
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