explainability method

LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity ICCV 2025 Strengths and Limitations of Word-Based Task Explainability in Vision Language Models: a Case Study on Biological Sex Biases in the Medical Domain ACL 2025 The Hidden Attention of Mamba Models ACL 2025 Understanding Dementia Speech Alignment with Diffusion-Based Image Generation Interspeech 2025 Analysing Translation Artifacts: A Comparative Study of LLMs, NMTs, and Human Translations EMNLP 2024 Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations COLING 2024 Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination ACL 2024 Smart Lexical Search for Label Flipping Adversial Attack ACL 2024 Being Right for Whose Right Reasons? ACL 2023 Explainability-Aware One Point Attack for Point Cloud Neural Networks WACV 2023 Temporal Dependencies in Feature Importance for Time Series Prediction ICLR 2023 Agree To Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations WACV 2022 Explaining Neural NLP Models for the Joint Analysis of Open-and-Closed-Ended Survey Answers NAACL 2022 How Good Is Your Explanation? Algorithmic Stability Measures To Assess the Quality of Explanations for Deep Neural Networks WACV 2022 What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods NeurIPS 2022 Explainability Methods for Graph Convolutional Neural Networks CVPR 2019