Title
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 52 36 0 08 Jun 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection Thomas Hartvigsen Saadia Gabriel Hamid Palangi Maarten Sap Dipankar Ray Ece Kamar 42 362 0 17 Mar 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 50 42 0 16 Dec 2021
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech Mai Elsherief Caleb Ziems D. Muchlinski Vaishnavi Anupindi Jordyn Seybolt M. D. Choudhury Diyi Yang 117 244 0 11 Sep 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 82 79 0 30 Apr 2021
FIND: Human-in-the-Loop Debugging Deep Text Classifiers Piyawat Lertvittayakumjorn Lucia Specia Francesca Toni 14 54 0 10 Oct 2020
Evaluating and Characterizing Human Rationales Samuel Carton Anirudh Rathore Chenhao Tan 27 49 0 09 Oct 2020
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 443 2,051 0 28 Jul 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 120 2,023 0 16 Apr 2020
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition Bill Yuchen Lin Dong-Ho Lee Minghan Shen Ryan Rene Moreno Xiao Huang Prashant Shiralkar Xiang Ren 33 87 0 16 Apr 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 55 221 0 10 Feb 2020
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge Laura Rieger Chandan Singh W. James Murdoch Bin Yu FAtt 55 213 0 30 Sep 2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 37 567 0 26 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases Christopher Clark Mark Yatskar Luke Zettlemoyer OOD 41 463 0 09 Sep 2019
Hate Speech Dataset from a White Supremacy Forum Ona de Gibert Naiara Pérez Aitor García-Pablos Montse Cuadros 32 417 0 12 Sep 2018
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 60 3,848 0 10 Apr 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 95 2,854 0 14 Mar 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 89 585 0 10 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 59 5,920 0 04 Mar 2017