Supervising Model Attention with Human Explanations for Robust Natural Language Inference

16 April 2021

Papers citing "Supervising Model Attention with Human Explanations for Robust Natural Language Inference"

29 / 29 papers shown

Title
Pushing the boundary on Natural Language Inference Pablo Miralles-González Javier Huertas-Tato Alejandro Martín David Camacho LRM 44 0 0 25 Apr 2025
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding Ukyo Honda Tatsushi Oka Peinan Zhang Masato Mita 49 1 0 17 Jun 2024
Explanation based Bias Decoupling Regularization for Natural Language Inference Jianxiang Zang Hui Liu 16 0 0 20 Apr 2024
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training Dongfang Li Baotian Hu Qingcai Chen Shan He 28 4 0 29 Dec 2023
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents James Enouen Hootan Nakhost Sayna Ebrahimi Sercan Ö. Arik Yan Liu Tomas Pfister 33 4 0 03 Dec 2023
Explainability for Large Language Models: A Survey Haiyan Zhao Hanjie Chen Fan Yang Ninghao Liu Huiqi Deng Hengyi Cai Shuaiqiang Wang Dawei Yin Mengnan Du LRM 26 409 0 02 Sep 2023
GEMTrans: A General, Echocardiography-based, Multi-Level Transformer Framework for Cardiovascular Diagnosis Masoud Mokhtari Neda Ahmadi T. Tsang Purang Abolmaesumi Renjie Liao MedIm 17 12 0 25 Aug 2023
Robust Natural Language Understanding with Residual Attention Debiasing Fei Wang James Y. Huang Tianyi Yan Wenxuan Zhou Muhao Chen 29 10 0 28 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 36 25 0 10 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 26 16 0 08 May 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 39 101 0 28 Mar 2023
Learning with Explanation Constraints Rattana Pukdee Dylan Sam J. Zico Kolter Maria-Florina Balcan Pradeep Ravikumar FAtt 32 6 0 25 Mar 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
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 19 11 0 24 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 21 10 0 17 Oct 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 31 84 0 25 Aug 2022
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives Zhuofan Ying Peter Hase Joey Tianyi Zhou LRM 28 13 0 22 Jun 2022
Cross-lingual AMR Aligner: Paying Attention to Cross-Attention Abelardo Carlos Martínez Lorenzo Pere-Lluís Huguet Cabot Roberto Navigli 24 4 0 15 Jun 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
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning Xi Ye Greg Durrett ReLM LRM 33 168 0 06 May 2022
Training Language Models with Language Feedback Jérémy Scheurer Jon Ander Campos Jun Shern Chan Angelica Chen Kyunghyun Cho Ethan Perez ALM 36 47 0 29 Apr 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 26 67 0 24 Mar 2022
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 14 87 0 03 Feb 2021
ExpBERT: Representation Engineering with Natural Language Explanations Shikhar Murty Pang Wei Koh Percy Liang 43 43 0 05 May 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
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018