{"total":60,"rows":[{"id":"2312.12936","title":"Concept-based Explainable Artificial Intelligence: A Survey","created":"2023-12-20","cited_by_count":98,"area":null},{"id":"2305.07722","title":"In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making","created":"2023-05-12","cited_by_count":50,"area":null},{"id":"2502.08554","title":"Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies","created":"2025-02-12","cited_by_count":39,"area":null},{"id":"2407.02651","title":"Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition","created":"2024-07-02","cited_by_count":29,"area":null},{"id":"2307.13566","title":"The Impact of Imperfect XAI on Human-AI Decision-Making","created":"2023-07-25","cited_by_count":21,"area":null},{"id":"2305.08598","title":"Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application","created":"2023-05-15","cited_by_count":14,"area":null},{"id":"2402.00491","title":"EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations","created":"2024-02-01","cited_by_count":14,"area":null},{"id":"2401.07871","title":"Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities","created":"2024-01-15","cited_by_count":10,"area":null},{"id":"2306.05115","title":"Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media","created":"2023-06-08","cited_by_count":9,"area":null},{"id":"2404.06733","title":"Incremental XAI: Memorable Understanding of AI with Incremental Explanations","created":"2024-04-10","cited_by_count":8,"area":null},{"id":"2409.12809","title":"Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration","created":"2024-09-19","cited_by_count":8,"area":null},{"id":"2504.12529","title":"Is Trust Correlated With Explainability in AI? A Meta-Analysis","created":"2025-04-16","cited_by_count":8,"area":null},{"id":"2306.08424","title":"Selective Concept Models: Permitting Stakeholder Customisation at Test-Time","created":"2023-06-14","cited_by_count":6,"area":null},{"id":"2309.13965","title":"May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability","created":"2023-09-25","cited_by_count":5,"area":null},{"id":"2401.08405","title":"Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT","created":"2024-01-16","cited_by_count":5,"area":null},{"id":"2404.05238","title":"Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy","created":"2024-04-08","cited_by_count":5,"area":null},{"id":"2409.07192","title":"How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions","created":"2024-09-11","cited_by_count":5,"area":null},{"id":"2503.04739","title":"A Framework for Responsible AI Systems: Building Societal Trust through Domain Definition, Trustworthy AI Design, Auditability, Accountability, and Governance","created":"2025-02-04","cited_by_count":5,"area":null},{"id":"2504.15549","title":"Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Software","created":"2025-04-22","cited_by_count":5,"area":null},{"id":"2507.15759","title":"Interaction as Intelligence: Deep Research With Human-AI Partnership","created":"2025-07-21","cited_by_count":5,"area":null},{"id":"2508.15227","title":"GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design","created":"2025-08-21","cited_by_count":5,"area":null},{"id":"2403.07078","title":"Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning","created":"2024-03-11","cited_by_count":4,"area":null},{"id":"2304.02202","title":"Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models","created":"2023-04-05","cited_by_count":3,"area":null},{"id":"2310.07802","title":"An Information Bottleneck Characterization of the Understanding-Workload Tradeoff","created":"2023-10-11","cited_by_count":3,"area":null},{"id":"2401.13324","title":"Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions","created":"2024-01-24","cited_by_count":3,"area":null},{"id":"2405.10446","title":"Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI","created":"2024-05-16","cited_by_count":3,"area":null},{"id":"2407.15871","title":"Semantic Prototypes: Enhancing Transparency Without Black Boxes","created":"2024-07-18","cited_by_count":3,"area":null},{"id":"2403.08789","title":"Bridging Human Concepts and Computer Vision for Explainable Face Verification","created":"2024-01-30","cited_by_count":2,"area":null},{"id":"2403.08828","title":"People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI","created":"2024-03-11","cited_by_count":2,"area":null},{"id":"2404.14830","title":"CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models","created":"2024-04-23","cited_by_count":2,"area":null},{"id":"2405.02583","title":"Explainable Interface for Human-Autonomy Teaming: A Survey","created":"2024-05-04","cited_by_count":2,"area":null},{"id":"2407.10662","title":"XEQ Scale for Evaluating XAI Experience Quality","created":"2024-07-15","cited_by_count":2,"area":null},{"id":"2507.11099","title":"A Survey on Interpretability in Visual Recognition","created":"2025-07-15","cited_by_count":2,"area":null},{"id":"2602.02886","title":"Mixture of Concept Bottleneck Experts","created":"2026-02-02","cited_by_count":2,"area":null},{"id":"2303.15632","title":"UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs","created":"2023-03-27","cited_by_count":1,"area":null},{"id":"2310.00503","title":"Black-box Attacks on Image Activity Prediction and its Natural Language Explanations","created":"2023-09-30","cited_by_count":1,"area":null},{"id":"2311.10933","title":"Representing visual classification as a linear combination of words","created":"2023-11-18","cited_by_count":1,"area":null},{"id":"2312.08063","title":"Estimation of Concept Explanations Should be Uncertainty Aware","created":"2023-12-13","cited_by_count":1,"area":null},{"id":"2404.09768","title":"Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes","created":"2024-04-15","cited_by_count":1,"area":null},{"id":"2503.03927","title":"\"Impressively Scary:\" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications","created":"2025-03-05","cited_by_count":1,"area":null},{"id":"2503.16444","title":"Conversational Explanations: Discussing Explainable AI with Non-AI Experts","created":"2025-02-16","cited_by_count":1,"area":null},{"id":"2504.10745","title":"Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations","created":"2025-04-14","cited_by_count":1,"area":null},{"id":"2506.20267","title":"X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis","created":"2025-06-25","cited_by_count":1,"area":null},{"id":"2510.12728","title":"Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior","created":"2025-10-14","cited_by_count":1,"area":null},{"id":"2601.14589","title":"Designing KRIYA: An AI Companion for Wellbeing Self-Reflection","created":"2026-01-21","cited_by_count":1,"area":null},{"id":"2602.13784","title":"Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments","created":"2026-02-14","cited_by_count":1,"area":null},{"id":"2306.16126","title":"More efficient manual review of automatically transcribed tabular data","created":"2023-06-28","cited_by_count":0,"area":null},{"id":"2404.09828","title":"Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models","created":"2024-04-15","cited_by_count":0,"area":null},{"id":"2405.13264","title":"Part-based Quantitative Analysis for Heatmaps","created":"2024-05-22","cited_by_count":0,"area":null},{"id":"2408.06257","title":"Reciprocal Learning","created":"2024-08-12","cited_by_count":0,"area":null},{"id":"2408.17401","title":"Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare","created":"2024-08-30","cited_by_count":0,"area":null},{"id":"2501.17328","title":"SIC: Similarity-Based Interpretable Image Classification with Neural Networks","created":"2025-01-28","cited_by_count":0,"area":null},{"id":"2505.22477","title":"Human-Centered Human-AI Collaboration (HCHAC)","created":"2025-05-28","cited_by_count":0,"area":null},{"id":"2507.21089","title":"Emotionally Aware Moderation: The Potential of Emotion Monitoring in Shaping Healthier Social Media Conversations","created":"2025-06-24","cited_by_count":0,"area":null},{"id":"2512.17891","title":"Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training","created":"2025-12-19","cited_by_count":0,"area":null},{"id":"2512.18864","title":"Cross-modal Counterfactual Explanations: Uncovering Decision Factors and Dataset Biases in Subjective Classification","created":"2025-12-21","cited_by_count":0,"area":null},{"id":"2601.15029","title":"Emergent, not Immanent: A Baradian Reading of Explainable AI","created":"2026-01-21","cited_by_count":0,"area":null},{"id":"2604.13279","title":"Explainable Fall Detection for Elderly Monitoring via Temporally Stable SHAP in Skeleton-Based Human Activity Recognition","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2605.05329","title":"Understanding Annotator Safety Policy with Interpretability","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2608.15731","title":"Identifying Confusion Trends in Concept-based XAI for Multi-Label Classification","created":"2026-08-16","cited_by_count":0,"area":null}],"next_cursor":null}