Evaluating Explanations: How much do explanations from the teacher aid students?

1 December 2020

Livio Baldini Soares

Graham Neubig

Papers citing "Evaluating Explanations: How much do explanations from the teacher aid students?"

50 / 83 papers shown

Title
VirtualXAI: A User-Centric Framework for Explainability Assessment Leveraging GPT-Generated Personas Georgios Makridis Vasileios Koukos G. Fatouros D. Kyriazis 82 1 0 06 Mar 2025
Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction Jingheng Ye Shang Qin Hai-Tao Zheng Hai-Tao Zheng Shen Wang Qingsong Wen 60 0 0 24 Feb 2025
TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Models Bo Pan Zhen Xiong Guanchen Wu Zheng Zhang Yifei Zhang Liang Zhao FAtt 39 1 0 20 Oct 2024
Explanation Regularisation through the Lens of Attributions Pedro Ferreira Wilker Aziz Ivan Titov 51 1 0 23 Jul 2024
Data-Centric Human Preference Optimization with Rationales H. Just Ming Jin Anit Kumar Sahu Huy Phan Ruoxi Jia 57 3 0 19 Jul 2024
Retrieved In-Context Principles from Previous Mistakes Hao Sun Yong-jia Jiang Bo Wang Yingyan Hou Yan Zhang Pengjun Xie Fei Huang 63 1 0 08 Jul 2024
CAVE: Controllable Authorship Verification Explanations Sahana Ramnath Kartik Pandey Elizabeth Boschee Xiang Ren 66 2 0 24 Jun 2024
Understanding Understanding: A Pragmatic Framework Motivated by Large Language Models Kevin Leyton-Brown Y. Shoham ELM 30 0 0 16 Jun 2024
Evaluating Saliency Explanations in NLP by Crowdsourcing Xiaotian Lu Jiyi Li Zhen Wan Xiaofeng Lin Koh Takeuchi Hisashi Kashima XAI FAtt LRM 37 1 0 17 May 2024
Explanation based Bias Decoupling Regularization for Natural Language Inference Jianxiang Zang Hui Liu 16 0 0 20 Apr 2024
The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement Jonathan Kamp Lisa Beinborn Antske Fokkens 30 1 0 28 Mar 2024
RORA: Robust Free-Text Rationale Evaluation Zhengping Jiang Yining Lu Hanjie Chen Daniel Khashabi Benjamin Van Durme Anqi Liu 53 1 0 28 Feb 2024
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance Haorui Wang Rongzhi Zhang Yinghao Li Lingkai Kong Yuchen Zhuang Xiusi Chen Chao Zhang LRM 43 5 0 24 Jan 2024
Generating Zero-shot Abstractive Explanations for Rumour Verification I. Bilal Preslav Nakov Rob Procter M. Liakata 24 0 0 23 Jan 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability Edmund Mills Shiye Su Stuart J. Russell Scott Emmons 56 7 0 20 Dec 2023
Evaluating the Utility of Model Explanations for Model Development Shawn Im Jacob Andreas Yilun Zhou XAI FAtt ELM 32 1 0 10 Dec 2023
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models Sean Xie Soroush Vosoughi Saeed Hassanpour 49 3 0 03 Nov 2023
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization Mohammad Reza Ghasemi Madani Pasquale Minervini 40 4 0 22 Oct 2023
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models Archiki Prasad Elias Stengel-Eskin Mohit Bansal ReLM LRM 36 8 0 09 Oct 2023
Measuring Information in Text Explanations Zining Zhu Frank Rudzicz FAtt 37 0 0 06 Oct 2023
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals Y. Gat Nitay Calderon Amir Feder Alexander Chapanin Amit Sharma Roi Reichart 40 29 0 01 Oct 2023
Learning by Self-Explaining Wolfgang Stammer Felix Friedrich David Steinmann Manuel Brack Hikaru Shindo Kristian Kersting 34 7 0 15 Sep 2023
Goodhart's Law Applies to NLP's Explanation Benchmarks Jennifer Hsia Danish Pruthi Aarti Singh Zachary Chase Lipton 30 6 0 28 Aug 2023
Can Authorship Representation Learning Capture Stylistic Features? Andrew Wang Cristina Aggazzotti R. Kotula Rafael Rivera Soto M. Bishop Matthew Wiesner AI4TS 30 12 0 22 Aug 2023
Exploring the Landscape of Natural Language Processing Research Tim Schopf Karim Arabi Florian Matthes 21 13 0 20 Jul 2023
Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Personalization Swarnadeep Saha Peter Hase Mohit Bansal LRM 30 10 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 36 16 0 26 May 2023
Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors Giorgos Filandrianos Edmund Dervakos Orfeas Menis Mastromichalakis Chrysoula Zerva Giorgos Stamou AAML 37 5 0 26 May 2023
Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies Jonas Teufel Luca Torresi Pascal Friederich FAtt 34 1 0 25 May 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 224 506 0 03 May 2023
Answering Questions by Meta-Reasoning over Multiple Chains of Thought Ori Yoran Tomer Wolfson Ben Bogin Uri Katz Daniel Deutch Jonathan Berant ReLM LRM KELM 26 95 0 25 Apr 2023
Computational modeling of semantic change Nina Tahmasebi Haim Dubossarsky 38 6 0 13 Apr 2023
Training Language Models with Language Feedback at Scale Jérémy Scheurer Jon Ander Campos Tomasz Korbak Jun Shern Chan Angelica Chen Kyunghyun Cho Ethan Perez ALM 50 103 0 28 Mar 2023
Improving Code Generation by Training with Natural Language Feedback Angelica Chen Jérémy Scheurer Tomasz Korbak Jon Ander Campos Jun Shern Chan Samuel R. Bowman Kyunghyun Cho Ethan Perez SyDa ALM AI4CE 39 76 0 28 Mar 2023
Quantifying Context Mixing in Transformers Hosein Mohebbi Willem H. Zuidema Grzegorz Chrupała A. Alishahi 176 25 0 30 Jan 2023
MEGAN: Multi-Explanation Graph Attention Network Jonas Teufel Luca Torresi Patrick Reiser Pascal Friederich 26 8 0 23 Nov 2022
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales Peifeng Wang Aaron Chan Filip Ilievski Muhao Chen Xiang Ren LRM ReLM 21 59 0 03 Nov 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations? Alexis Ross Matthew E. Peters Ana Marasović LRM 32 11 0 24 Oct 2022
Large Language Models Can Self-Improve Jiaxin Huang S. Gu Le Hou Yuexin Wu Xuezhi Wang Hongkun Yu Jiawei Han ReLM AI4MH LRM 49 568 0 20 Oct 2022
Challenges in Explanation Quality Evaluation Hendrik Schuff Heike Adel Peng Qi Ngoc Thang Vu XAI 38 3 0 13 Oct 2022
Assessing Out-of-Domain Language Model Performance from Few Examples Prasann Singhal Jarad Forristal Xi Ye Greg Durrett LRM 25 5 0 13 Oct 2022
REV: Information-Theoretic Evaluation of Free-Text Rationales Hanjie Chen Faeze Brahman Xiang Ren Yangfeng Ji Yejin Choi Swabha Swayamdipta 92 23 0 10 Oct 2022
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 117 110 0 22 Sep 2022
Responsibility: An Example-based Explainable AI approach via Training Process Inspection Faraz Khadivpour Arghasree Banerjee Matthew J. Guzdial XAI 19 2 0 07 Sep 2022
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text Rationales Aaron Chan Shaoliang Nie Liang Tan Xiaochang Peng Hamed Firooz Maziar Sanjabi Xiang Ren 55 9 0 02 Jul 2022
Use-Case-Grounded Simulations for Explanation Evaluation Valerie Chen Nari Johnson Nicholay Topin Gregory Plumb Ameet Talwalkar FAtt ELM 27 24 0 05 Jun 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior Eldar David Abraham Karel DÓosterlinck Amir Feder Y. Gat Atticus Geiger Christopher Potts Roi Reichart Zhengxuan Wu CML 36 44 0 27 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 38 6 0 25 May 2022
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI Suzanna Sia Anton Belyy Amjad Almahairi Madian Khabsa Luke Zettlemoyer Lambert Mathias LRM 27 13 0 25 May 2022
A Psychological Theory of Explainability Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto XAI FAtt 61 16 0 17 May 2022