What to Learn, and How: Toward Effective Learning from Rationales

30 November 2021

Papers citing "What to Learn, and How: Toward Effective Learning from Rationales"

19 / 19 papers shown

Title
Explanation Regularisation through the Lens of Attributions Pedro Ferreira Wilker Aziz Ivan Titov 43 1 0 23 Jul 2024
Evaluating Human Alignment and Model Faithfulness of LLM Rationale Mohsen Fayyaz Fan Yin Jiao Sun Nanyun Peng 55 3 0 28 Jun 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales Lucas Resck Marcos M. Raimundo Jorge Poco 47 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 32 5 0 12 Mar 2024
Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts Chenghao Yang Tuhin Chakrabarty K. Hochstatter M. Slavin N. El-Bassel Smaranda Muresan 24 2 0 15 Nov 2023
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification Jiasheng Si Yingjie Zhu Deyu Zhou AAML 46 3 0 16 May 2023
Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts Dongyoon Han Junsuk Choe Dante Chun John Joon Young Chung Minsuk Chang Sangdoo Yun Jean Y. Song Seong Joon Oh OOD 424 4 1 30 Mar 2023
Selective Explanations: Leveraging Human Input to Align Explainable AI Vivian Lai Yiming Zhang Chacha Chen Q. V. Liao Chenhao Tan 18 43 0 23 Jan 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 29 39 0 07 Dec 2022
On Faithfulness and Coherence of Language Explanations for Recommendation Systems Zhouhang Xie Julian McAuley Bodhisattwa Prasad Majumder LRM 22 1 0 12 Sep 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 30 16 0 13 Jun 2022
Investigating the Benefits of Free-Form Rationales Jiao Sun Swabha Swayamdipta Jonathan May Xuezhe Ma 11 14 0 25 May 2022
ER-Test: Evaluating Explanation Regularization Methods for Language Models Brihi Joshi Aaron Chan Ziyi Liu Shaoliang Nie Maziar Sanjabi Hamed Firooz Xiang Ren AAML 35 6 0 25 May 2022
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models Joe Stacey Pasquale Minervini Haim Dubossarsky Marek Rei ReLM LRM 19 14 0 23 May 2022
A survey on improving NLP models with human explanations Mareike Hartmann Daniel Sonntag LRM 27 21 0 19 Apr 2022
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations N. Jethani Mukund Sudarshan Yindalon Aphinyanagphongs Rajesh Ranganath FAtt 82 70 0 02 Mar 2021
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 127 35 0 16 Dec 2020
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