Attention is not not Explanation

13 August 2019

Papers citing "Attention is not not Explanation"

37 / 37 papers shown

Title
LiDDA: Data Driven Attribution at LinkedIn John Bencina Erkut Aykutlug Yue Chen Zerui Zhang Stephanie Sorenson Shao Tang Changshuai Wei 43 0 0 14 May 2025
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers Xuexin Chen Ruichu Cai Zhengting Huang Zijian Li Jie Zheng Min Wu 59 0 0 08 Mar 2025
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning Anh Tong Thanh Nguyen-Tang Dongeun Lee Duc Nguyen Toan M. Tran David Hall Cheongwoong Kang Jaesik Choi 82 1 0 03 Mar 2025
RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage Peter Yong Zhong Siyuan Chen Ruiqi Wang McKenna McCall Ben L. Titzer Heather Miller Phillip B. Gibbons LLMAG 109 6 0 17 Feb 2025
Exploring Translation Mechanism of Large Language Models Hongbin Zhang Kehai Chen Xuefeng Bai Xiucheng Li Yang Xiang Min Zhang 107 1 0 17 Feb 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu Yanxiao Cai Minxing Zhang Xia Hu FAtt 339 0 0 15 Feb 2025
Making Sense Of Distributed Representations With Activation Spectroscopy Kyle Reing Greg Ver Steeg Aram Galstyan 41 0 0 28 Jan 2025
A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference Duc Hau Nguyen Duc Hau Nguyen Pascale Sébillot 71 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 85 0 0 22 Jan 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers Tobias Leemann Alina Fastowski Felix Pfeiffer Gjergji Kasneci 92 5 0 10 Jan 2025
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers Lam Nguyen Tung Steven Cho Xiaoning Du Neelofar Neelofar Valerio Terragni Stefano Ruberto Aldeida Aleti 395 2 0 30 Oct 2024
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination Jerry Huang Prasanna Parthasarathi Mehdi Rezagholizadeh Boxing Chen Sarath Chandar 94 0 0 22 Oct 2024
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers Shijie Chen Bernal Jiménez Gutiérrez Yu Su 57 4 0 03 Oct 2024
Enhancing elusive clues in knowledge learning by contrasting attention of language models Jian Gao Xiao Zhang Ji Wu Miao Li 69 0 0 26 Sep 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models Sepehr Kamahi Yadollah Yaghoobzadeh 64 0 0 21 Aug 2024
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge Timothy Dai Kate Maher Z. Perzan 55 1 0 30 Jul 2024
Explanation Regularisation through the Lens of Attributions Pedro Ferreira Wilker Aziz Ivan Titov 99 1 0 23 Jul 2024
CAVE: Controllable Authorship Verification Explanations Sahana Ramnath Kartik Pandey Elizabeth Boschee Xiang Ren 77 2 0 24 Jun 2024
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation Michal Golovanevsky William Rudman Vedant Palit Ritambhara Singh Carsten Eickhoff 84 1 0 24 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models F. Jafari G. Montavon Klaus-Robert Müller Oliver Eberle Mamba 145 9 0 11 Jun 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 128 18 0 28 Feb 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability Edmund Mills Shiye Su Stuart J. Russell Scott Emmons 84 7 0 20 Dec 2023
Exploring Self-Attention for Crop-type Classification Explainability Ivica Obadic R. Roscher Dario Augusto Borges Oliveira Xiao Xiang Zhu 61 7 0 24 Oct 2022
Is Attention Interpretable? Sofia Serrano Noah A. Smith 72 679 0 09 Jun 2019
Generating Token-Level Explanations for Natural Language Inference James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal LRM 40 57 0 24 Apr 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 83 1,307 0 26 Feb 2019
Human-Centered Artificial Intelligence and Machine Learning Mark O. Riedl SyDa 102 264 0 31 Jan 2019
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions Upol Ehsan Pradyumna Tambwekar Larry Chan Brent Harrison Mark O. Riedl 76 239 0 11 Jan 2019
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead Cynthia Rudin ELM FaML 43 219 0 26 Nov 2018
Explainable Prediction of Medical Codes from Clinical Text J. Mullenbach Sarah Wiegreffe J. Duke Jimeng Sun Jacob Eisenstein FAtt 49 571 0 15 Feb 2018
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 96 585 0 10 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 341 3,742 0 28 Feb 2017
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 81 807 0 13 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 106 3,672 0 10 Jun 2016
Reasoning about Entailment with Neural Attention Tim Rocktaschel Edward Grefenstette Karl Moritz Hermann Tomás Kociský Phil Blunsom NAI 40 760 0 22 Sep 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 273 10,034 0 10 Feb 2015
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 369 27,205 0 01 Sep 2014