Explanation-Based Human Debugging of NLP Models: A Survey

30 April 2021

Papers citing "Explanation-Based Human Debugging of NLP Models: A Survey"

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Title
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers Lam Nguyen Tung Steven Cho Xiaoning Du Neelofar Neelofar Valerio Terragni Stefano Ruberto Aldeida Aleti 112 2 0 30 Oct 2024
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems Gaole He Abri Bharos U. Gadiraju 24 4 0 22 Sep 2024
Joint Universal Adversarial Perturbations with Interpretations Liang-bo Ning Zeyu Dai Wenqi Fan Jingran Su Chao Pan Luning Wang Qing Li AAML 32 2 0 03 Aug 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 32 10 0 27 Jul 2024
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE) Daniel Sonntag Michael Barz Thiago S. Gouvêa VLM 44 4 0 27 Jun 2024
CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems Qianli Wang Tatiana Anikina Nils Feldhus Simon Ostermann Sebastian Möller 19 1 0 12 Jun 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions Jingtan Wang Xiaoqiang Lin Rui Qiao Chuan-Sheng Foo Bryan Kian Hsiang Low TDI 35 3 0 07 Jun 2024
Contestable AI needs Computational Argumentation Francesco Leofante Hamed Ayoobi Adam Dejl Gabriel Freedman Deniz Gorur ... Anna Rapberger Fabrizio Russo Xiang Yin Dekai Zhang Francesca Toni 28 3 0 17 May 2024
Facilitating Opinion Diversity through Hybrid NLP Approaches Michiel van der Meer 39 0 0 15 May 2024
Properties and Challenges of LLM-Generated Explanations Jenny Kunz Marco Kuhlmann 17 19 0 16 Feb 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability Edmund Mills Shiye Su Stuart J. Russell Scott Emmons 46 7 0 20 Dec 2023
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception Chaitanya Malaviya Subin Lee Dan Roth Mark Yatskar 29 1 0 16 Nov 2023
QualEval: Qualitative Evaluation for Model Improvement Vishvak Murahari A. Deshpande Peter Clark Tanmay Rajpurohit Ashish Sabharwal Karthik Narasimhan A. Kalyan 24 4 0 06 Nov 2023
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers Yuya Yoshikawa Tomoharu Iwata 14 0 0 19 Oct 2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models Maciej Besta Nils Blach Aleš Kubíček Robert Gerstenberger Michal Podstawski ... Joanna Gajda Tomasz Lehmann H. Niewiadomski Piotr Nyczyk Torsten Hoefler LRM AI4CE LM&Ro 56 589 0 18 Aug 2023
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI Houjiang Liu Anubrata Das Alexander Boltz Didi Zhou Daisy Pinaroc Matthew Lease Min Kyung Lee HAI 25 16 0 14 Aug 2023
Towards Explainable Evaluation Metrics for Machine Translation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei-Ye Zhao Yang Gao Steffen Eger ELM 28 12 0 22 Jun 2023
Disentanglement via Latent Quantization Kyle Hsu W. Dorrell James C. R. Whittington Jiajun Wu Chelsea Finn DRL 15 24 0 28 May 2023
Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao Yucheng Shi Shushan Wu Fan Yang Wenzhan Song Ninghao Liu AI4TS 20 6 0 23 May 2023
Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack Christopher Burger Lingwei Chen Thai Le FAtt AAML 14 9 0 21 May 2023
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing Hua Shen Huang Chieh-Yang Tongshuang Wu Ting-Hao 'Kenneth' Huang 16 37 0 16 May 2023
Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifiers P. Jalali Nengfeng Zhou Yufei Yu AAML 22 0 0 06 Mar 2023
IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models Edoardo Mosca Daryna Dementieva Tohid Ebrahim Ajdari Maximilian Kummeth Kirill Gringauz Yutong Zhou Georg Groh 24 8 0 06 Mar 2023
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop Siting Liang Mareike Hartmann Daniel Sonntag 8 3 0 24 Jan 2023
Explainability of Text Processing and Retrieval Methods: A Critical Survey Sourav Saha Debapriyo Majumdar Mandar Mitra 8 5 0 14 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 24 39 0 07 Dec 2022
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective Linyi Yang Shuibai Zhang Libo Qin Yafu Li Yidong Wang Hanmeng Liu Jindong Wang Xingxu Xie Yue Zhang ELM 27 79 0 15 Nov 2022
Understanding Text Classification Data and Models Using Aggregated Input Salience Sebastian Ebert Alice Shoshana Jakobovits Katja Filippova FAtt 17 3 0 10 Nov 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models Dong-Ho Lee Akshen Kadakia Brihi Joshi Aaron Chan Ziyi Liu ... Takashi Shibuya Ryosuke Mitani Toshiyuki Sekiya Jay Pujara Xiang Ren LRM 40 9 0 30 Oct 2022
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models Chaitanya Malaviya Sudeep Bhatia Mark Yatskar 19 4 0 24 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 25 82 0 13 Oct 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 24 62 0 29 Jul 2022
Human-Centric Research for NLP: Towards a Definition and Guiding Questions Bhushan Kotnis Kiril Gashteovski J. Gastinger G. Serra Francesco Alesiani T. Sztyler Ammar Shaker Na Gong Carolin (Haas) Lawrence Zhao Xu 23 9 0 10 Jul 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 16 36 0 08 Jun 2022
Concept-level Debugging of Part-Prototype Networks A. Bontempelli Stefano Teso Katya Tentori Fausto Giunchiglia Andrea Passerini 17 52 0 31 May 2022
Argumentative Explanations for Pattern-Based Text Classifiers Piyawat Lertvittayakumjorn Francesca Toni 24 4 0 22 May 2022
Causal Discovery and Knowledge Injection for Contestable Neural Networks (with Appendices) Fabrizio Russo Francesca Toni CML 14 7 0 19 May 2022
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals Zijian Zhang Vinay Setty Avishek Anand 19 7 0 03 May 2022
A survey on improving NLP models with human explanations Mareike Hartmann Daniel Sonntag LRM 11 21 0 19 Apr 2022
Can language models learn from explanations in context? Andrew Kyle Lampinen Ishita Dasgupta Stephanie C. Y. Chan Kory Matthewson Michael Henry Tessler Antonia Creswell James L. McClelland Jane X. Wang Felix Hill LRM ReLM 31 283 0 05 Apr 2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning Jinghui Lu Linyi Yang Brian Mac Namee Yue Zhang 8 39 0 24 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei-Ye Zhao Yang Gao Steffen Eger AAML ELM 22 20 0 21 Mar 2022
A Survey of Adversarial Defences and Robustness in NLP Shreyansh Goyal Sumanth Doddapaneni Mitesh M.Khapra B. Ravindran AAML 29 30 0 12 Mar 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies Vivian Lai Chacha Chen Q. V. Liao Alison Smith-Renner Chenhao Tan 18 186 0 21 Dec 2021
Tell me why! Explanations support learning relational and causal structure Andrew Kyle Lampinen Nicholas A. Roy Ishita Dasgupta Stephanie C. Y. Chan Allison C. Tam ... Chen Yan Adam Santoro Neil C. Rabinowitz Jane X. Wang Felix Hill 25 45 0 07 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 16 22 0 30 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
Combining Transformers with Natural Language Explanations Federico Ruggeri Marco Lippi Paolo Torroni 17 1 0 02 Sep 2021
Jointly Attacking Graph Neural Network and its Explanations Wenqi Fan Wei Jin Xiaorui Liu Han Xu Xianfeng Tang Suhang Wang Qing Li Jiliang Tang Jianping Wang Charu C. Aggarwal AAML 37 28 0 07 Aug 2021
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns Piyawat Lertvittayakumjorn Leshem Choshen Eyal Shnarch Francesca Toni 35 7 0 08 Apr 2021