{"total":82,"rows":[{"id":"2310.19775","title":"Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions","created":"2023-10-30","cited_by_count":125,"area":null},{"id":"2405.00208","title":"A Primer on the Inner Workings of Transformer-based Language Models","created":"2024-04-30","cited_by_count":85,"area":null},{"id":"2306.06123","title":"Adversarial attacks and defenses in explainable artificial intelligence: A survey","created":"2023-06-06","cited_by_count":48,"area":null},{"id":"2409.00265","title":"Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction","created":"2024-08-30","cited_by_count":46,"area":null},{"id":"2205.14276","title":"So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems","created":"2022-05-28","cited_by_count":39,"area":null},{"id":"2304.10153","title":"On the Independence of Association Bias and Empirical Fairness in Language Models","created":"2023-04-20","cited_by_count":29,"area":null},{"id":"2212.14855","title":"Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces","created":"2022-12-30","cited_by_count":25,"area":null},{"id":"2408.08041","title":"The Clever Hans Effect in Unsupervised Learning","created":"2024-08-15","cited_by_count":24,"area":null},{"id":"2404.09554","title":"Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda","created":"2024-04-15","cited_by_count":22,"area":null},{"id":"2205.10226","title":"Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?","created":"2022-04-25","cited_by_count":20,"area":null},{"id":"2403.14552","title":"Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer","created":"2024-03-21","cited_by_count":19,"area":null},{"id":"2404.01415","title":"On the Faithfulness of Vision Transformer Explanations","created":"2024-04-01","cited_by_count":19,"area":null},{"id":"2406.04280","title":"xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology","created":"2024-06-06","cited_by_count":16,"area":null},{"id":"2503.01329","title":"Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning","created":"2025-03-03","cited_by_count":13,"area":null},{"id":"2306.00639","title":"Being Right for Whose Right Reasons?","created":"2023-06-01","cited_by_count":12,"area":null},{"id":"2310.11906","title":"Rather a Nurse than a Physician -- Contrastive Explanations under Investigation","created":"2023-10-18","cited_by_count":11,"area":null},{"id":"2408.12568","title":"Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers","created":"2024-08-22","cited_by_count":11,"area":null},{"id":"2502.15886","title":"A Close Look at Decomposition-based XAI-Methods for Transformer Language Models","created":"2025-02-21","cited_by_count":11,"area":null},{"id":"2504.19414","title":"GMAR: Gradient-Driven Multi-Head Attention Rollout for Vision Transformer Interpretability","created":"2025-04-28","cited_by_count":11,"area":null},{"id":"2505.15807","title":"The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation","created":"2025-05-21","cited_by_count":11,"area":null},{"id":"2312.02364","title":"Class-Discriminative Attention Maps for Vision Transformers","created":"2023-12-04","cited_by_count":10,"area":null},{"id":"2506.15538","title":"Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework","created":"2025-06-18","cited_by_count":10,"area":null},{"id":"2210.05709","title":"Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers","created":"2022-10-11","cited_by_count":9,"area":null},{"id":"2304.05727","title":"Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks","created":"2023-04-12","cited_by_count":9,"area":null},{"id":"2405.06604","title":"Explaining Text Similarity in Transformer Models","created":"2024-05-10","cited_by_count":9,"area":null},{"id":"2401.09972","title":"Better Explain Transformers by Illuminating Important Information","created":"2024-01-18","cited_by_count":8,"area":null},{"id":"2310.16607","title":"On the Interplay between Fairness and Explainability","created":"2023-10-25","cited_by_count":7,"area":null},{"id":"2407.09115","title":"Layer-Wise Relevance Propagation with Conservation Property for ResNet","created":"2024-07-12","cited_by_count":7,"area":null},{"id":"2408.17198","title":"Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features","created":"2024-08-30","cited_by_count":7,"area":null},{"id":"2501.15374","title":"Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models","created":"2025-01-26","cited_by_count":7,"area":null},{"id":"2503.05050","title":"A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs","created":"2025-03-06","cited_by_count":7,"area":null},{"id":"2506.14698","title":"Towards Desiderata-Driven Design of Visual Counterfactual Explainers","created":"2025-06-17","cited_by_count":7,"area":null},{"id":"2405.11891","title":"Unveiling and Manipulating Prompt Influence in Large Language Models","created":"2024-05-20","cited_by_count":6,"area":null},{"id":"2406.02625","title":"Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions","created":"2024-06-03","cited_by_count":6,"area":null},{"id":"2406.07961","title":"Accurate Explanation Model for Image Classifiers using Class Association Embedding","created":"2024-06-12","cited_by_count":6,"area":null},{"id":"2506.02138","title":"Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability","created":"2025-06-02","cited_by_count":6,"area":null},{"id":"2411.16760","title":"LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions","created":"2024-11-24","cited_by_count":5,"area":null},{"id":"2505.17630","title":"Correcting Gradient-Based Circuit Localization via Interaction-Aware Backpropagation","created":"2025-05-23","cited_by_count":5,"area":null},{"id":"2301.13445","title":"A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics","created":"2023-01-31","cited_by_count":4,"area":null},{"id":"2403.19882","title":"Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights","created":"2024-03-28","cited_by_count":4,"area":null},{"id":"2507.03197","title":"Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding","created":"2025-07-03","cited_by_count":4,"area":null},{"id":"2210.13167","title":"Exploring Self-Attention for Crop-type Classification Explainability","created":"2022-10-24","cited_by_count":3,"area":null},{"id":"2211.08425","title":"A Rigorous Study Of The Deep Taylor Decomposition","created":"2022-11-14","cited_by_count":3,"area":null},{"id":"2311.04813","title":"Be Careful When Evaluating Explanations Regarding Ground Truth","created":"2023-11-08","cited_by_count":3,"area":null},{"id":"2401.10397","title":"Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset","created":"2024-01-18","cited_by_count":3,"area":null},{"id":"2503.13495","title":"TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis","created":"2025-03-11","cited_by_count":3,"area":null},{"id":"2601.17958","title":"TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors","created":"2026-01-25","cited_by_count":3,"area":null},{"id":"2305.14575","title":"Towards Early Prediction of Human iPSC Reprogramming Success","created":"2023-05-23","cited_by_count":2,"area":null},{"id":"2401.08868","title":"B-Cos Aligned Transformers Learn Human-Interpretable Features","created":"2024-01-16","cited_by_count":2,"area":null},{"id":"2404.07725","title":"Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models","created":"2024-04-11","cited_by_count":2,"area":null},{"id":"2409.13764","title":"Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs","created":"2024-09-18","cited_by_count":2,"area":null},{"id":"2505.06123","title":"Wasserstein Distances Made Explainable: Insights Into Dataset Shifts and Transport Phenomena","created":"2025-05-09","cited_by_count":2,"area":null},{"id":"2603.08328","title":"Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology","created":"2026-03-09","cited_by_count":2,"area":null},{"id":"2302.07733","title":"Explaining text classifiers through progressive neighborhood approximation with realistic samples","created":"2023-02-11","cited_by_count":1,"area":null},{"id":"2404.14271","title":"Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation","created":"2024-04-22","cited_by_count":1,"area":null},{"id":"2410.03296","title":"A Systematic Comparison between Extractive Self-Explanations and Human Rationales in Text Classification","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2412.09311","title":"Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation","created":"2024-12-12","cited_by_count":1,"area":null},{"id":"2503.04174","title":"UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security","created":"2025-03-06","cited_by_count":1,"area":null},{"id":"2505.11210","title":"Minimizing False-Positive Attributions in Explanations of Non-Linear Models","created":"2025-05-16","cited_by_count":1,"area":null},{"id":"2510.06070","title":"There is More to Attention: Statistical Filtering Enhances Explanations in Vision Transformers","created":"2025-10-07","cited_by_count":1,"area":null},{"id":"2604.21690","title":"Evaluating Post-hoc Explanations of the Transformer-based Genome Language Model DNABERT-2","created":"2026-04-23","cited_by_count":1,"area":null},{"id":"2310.06574","title":"XAI for Early Crop Classification","created":"2023-10-10","cited_by_count":0,"area":null},{"id":"2312.17624","title":"XAI for In-hospital Mortality Prediction via Multimodal ICU Data","created":"2023-12-29","cited_by_count":0,"area":null},{"id":"2402.19133","title":"Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations","created":"2024-02-29","cited_by_count":0,"area":null},{"id":"2403.10275","title":"A Question on the Explainability of Large Language Models and the Word-Level Univariate First-Order Plausibility Assumption","created":"2024-03-15","cited_by_count":0,"area":null},{"id":"2501.05933","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","created":"2025-01-10","cited_by_count":0,"area":null},{"id":"2507.19303","title":"Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump's Presidential Campaigns","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2507.20357","title":"Wafer Defect Root Cause Analysis with Partial Trajectory Regression","created":"2025-07-27","cited_by_count":0,"area":null},{"id":"2508.00895","title":"Cross-Process Defect Attribution using Potential Loss Analysis","created":"2025-07-27","cited_by_count":0,"area":null},{"id":"2508.03913","title":"Fast and Accurate Explanations of Distance-Based Classifiers by Uncovering Latent Explanatory Structures","created":"2025-08-05","cited_by_count":0,"area":null},{"id":"2509.14664","title":"Attention Lattice Adapter: Visual Explanation Generation for Visual Foundation Model","created":"2025-09-18","cited_by_count":0,"area":null},{"id":"2510.18810","title":"When LRP Diverges from Leave-One-Out in Transformers","created":"2025-10-21","cited_by_count":0,"area":null},{"id":"2511.00859","title":"Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion","created":"2025-11-02","cited_by_count":0,"area":null},{"id":"2602.19583","title":"DEEP: Docker-based Execution and Evaluation Platform","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2606.05079","title":"Fast & Faithful Function Vectors","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.23763","title":"Listening makes Vision Clear for VLMs","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2606.27201","title":"Explaining Temporal Graph Neural Networks via Feature-induced Information Flow","created":"2026-06-25","cited_by_count":0,"area":null},{"id":"2607.07128","title":"Distributed Sparse Interventions in Language Models","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2607.10365","title":"Gradient-Skipping Relevance Propagation for Efficient Explainability of Vision Transformers","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2609.06020","title":"What Does Animal Re-Identification Learn? Linear Biological Concepts and Their Origins in Visual Representations","created":"2026-09-05","cited_by_count":0,"area":null},{"id":"2609.35128","title":"Explaining Hyperbolic Neural Networks via Geometry-Aware Relevance Propagation","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.02116","title":"A Comparative Explainability Framework for DeBERTa-v3 in Zero-Shot Medical Abstract Classification","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}