Local Interpretations for Explainable Natural Language Processing: A Survey

20 March 2021

Papers citing "Local Interpretations for Explainable Natural Language Processing: A Survey"

36 / 36 papers shown

Title
From Fragment to One Piece: A Survey on AI-Driven Graphic Design Xingxing Zou Wen Zhang Nanxuan Zhao 54 0 0 24 Mar 2025
FarExStance: Explainable Stance Detection for Farsi Majid Zarharan Maryam Hashemi Malika Behroozrazegh Sauleh Eetemadi Mohammad Taher Pilehvar Jennifer Foster 82 0 0 18 Dec 2024
Make Interval Bound Propagation great again Patryk Krukowski Daniel Wilczak Jacek Tabor Anna Bielawska Przemysław Spurek OOD AAML 37 0 0 04 Oct 2024
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng Farhad Shirani Zhuomin Chen Chaohao Lin Wei Cheng Wenbo Guo Dongsheng Luo AAML 28 0 0 03 Oct 2024
Penzai + Treescope: A Toolkit for Interpreting, Visualizing, and Editing Models As Data Mingshu Li 30 3 0 01 Aug 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 34 10 0 27 Jul 2024
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn Vahid Majdinasab Amin Nikanjam Foutse Khomh 40 1 0 11 Jul 2024
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales Tianyang Xu Shujin Wu Shizhe Diao Xiaoze Liu Xingyao Wang Yangyi Chen Jing Gao LRM 29 27 0 31 May 2024
Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models Majid Zarharan Pascal Wullschleger Babak Behkam Kia Mohammad Taher Pilehvar Jennifer Foster LRM ELM LM&MA 18 3 0 15 May 2024
SIDU-TXT: An XAI Algorithm for NLP with a Holistic Assessment Approach M. N. Jahromi Satya M. Muddamsetty Asta Sofie Stage Jarlner Anna Murphy Hogenhaug Thomas Gammeltoft-Hansen T. Moeslund 19 2 0 05 Feb 2024
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization Mohammad Reza Ghasemi Madani Pasquale Minervini 27 4 0 22 Oct 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 21 407 0 02 Sep 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 32 31 0 11 Mar 2023
ExClaim: Explainable Neural Claim Verification Using Rationalization Sai Gurrapu Lifu Huang Feras A. Batarseh AAML 24 8 0 21 Jan 2023
Rationalization for Explainable NLP: A Survey Sai Gurrapu Ajay Kulkarni Lifu Huang Ismini Lourentzou Laura J. Freeman Feras A. Batarseh 36 31 0 21 Jan 2023
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning Jiasheng Si Yingjie Zhu Deyu Zhou 24 12 0 02 Dec 2022
Reconnoitering the class distinguishing abilities of the features, to know them better Payel Sadhukhan S. Palit Kausik Sengupta 19 0 0 23 Nov 2022
Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis Siwen Luo Yi Ding Siqu Long Josiah Poon S. Han GNN 14 16 0 22 Aug 2022
Understanding Attention for Vision-and-Language Tasks Feiqi Cao S. Han Siqu Long Changwei Xu Josiah Poon 18 5 0 17 Aug 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 30 6 0 25 May 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection Esma Balkir I. Nejadgholi Kathleen C. Fraser S. Kiritchenko FAtt 33 27 0 06 May 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 36 41 0 16 Dec 2021
Explaining Face Presentation Attack Detection Using Natural Language H. Mirzaalian Mohamed E. Hussein L. Spinoulas Jonathan May Wael AbdAlmageed CVBM FAtt AAML 17 5 0 08 Nov 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 211 1,656 0 15 Oct 2021
Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis Saif M. Mohammad 17 67 0 17 Sep 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension Naoya Inoue H. Trivedi Steven K. Sinha Niranjan Balasubramanian Kentaro Inui 50 14 0 14 Sep 2021
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 117 35 0 16 Dec 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 274 170 0 24 Oct 2020
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 216 249 0 19 Oct 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 244 425 0 15 Oct 2020
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words Josef Klafka Allyson Ettinger 37 42 0 04 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
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 882 0 03 May 2018
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 219 201 0 06 Jul 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,923 0 17 Aug 2015
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 195 296 0 15 Oct 2012