Attention Interpretability Across NLP Tasks

24 September 2019

Papers citing "Attention Interpretability Across NLP Tasks"

23 / 23 papers shown

Title
Selective Prompt Anchoring for Code Generation Yuan Tian Tianyi Zhang 86 3 0 24 Feb 2025
A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference Duc Hau Nguyen Duc Hau Nguyen Pascale Sébillot 44 5 0 23 Jan 2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation Duc Hau Nguyen Cyrielle Mallart Guillaume Gravier Pascale Sébillot 58 0 0 22 Jan 2025
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models Yanwen Huang Yong Zhang Ning Cheng Zhitao Li Shaojun Wang Jing Xiao 86 0 0 02 Jan 2025
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning Chong Li Shaonan Wang Yunhao Zhang Jiajun Zhang Chengqing Zong 27 4 0 16 Oct 2023
Evaluating self-attention interpretability through human-grounded experimental protocol Milan Bhan Nina Achache Victor Legrand A. Blangero N. Chesneau 21 9 0 27 Mar 2023
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 25 82 0 13 Oct 2022
Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks Yuxuan Li James L. McClelland 33 17 0 02 Oct 2022
Does Attention Mechanism Possess the Feature of Human Reading? A Perspective of Sentiment Classification Task Leilei Zhao Yingyi Zhang Chengzhi Zhang 22 2 0 08 Sep 2022
Is Attention Interpretation? A Quantitative Assessment On Sets Jonathan Haab N. Deutschmann María Rodríguez Martínez 19 7 0 26 Jul 2022
Silence is Sweeter Than Speech: Self-Supervised Model Using Silence to Store Speaker Information Chiyu Feng Po-Chun Hsu Hung-yi Lee SSL 20 8 0 08 May 2022
Interpretation of Black Box NLP Models: A Survey Shivani Choudhary N. Chatterjee S. K. Saha FAtt 32 10 0 31 Mar 2022
Understanding microbiome dynamics via interpretable graph representation learning K. Melnyk Kuba Weimann Tim Conrad 19 5 0 02 Mar 2022
Counterfactual Explanations for Models of Code Jürgen Cito Işıl Dillig V. Murali S. Chandra AAML LRM 24 47 0 10 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
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining Andreas Madsen Nicholas Meade Vaibhav Adlakha Siva Reddy 96 35 0 15 Oct 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience G. Chrysostomou Nikolaos Aletras 24 16 0 31 Aug 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 11 37 0 06 May 2021
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 31 38 0 03 Dec 2020
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig Ali Madani L. Varshney Caiming Xiong R. Socher Nazneen Rajani 13 288 0 26 Jun 2020
Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer's Disease Ning Wang Mingxuan Chen K. P. Subbalakshmi 12 22 0 25 Jun 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 29 371 0 30 Apr 2020
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 216 7,923 0 17 Aug 2015