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Papers

Rules or Weights? Comparing User Understanding of Explainable AI Techniques with the Cognitive XAI-Adaptive Model

Transferable XAI: Relating Understanding Across Domains with Explanation Transfer

Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes

iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision

Learn AI Coding at CodeNow

Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments

Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers' Assessment Literacy

Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation

Robust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency

Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis

Incremental XAI: Memorable Understanding of AI with Incremental Explanations

RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions

Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning

Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation

Towards Relatable Explainable AI with the Perceptual Process

Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation

TableChat: Mobile Food Journaling to Facilitate Family Support for Healthy Eating

Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda

Rules or Weights? Comparing User Understanding of Explainable AI Techniques with the Cognitive XAI-Adaptive Model

Transferable XAI: Relating Understanding Across Domains with Explanation Transfer

Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes

iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision

Learn AI Coding at CodeNow

Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments

Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers' Assessment Literacy

Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation

Robust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency

Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis

Incremental XAI: Memorable Understanding of AI with Incremental Explanations

RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions

Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning

Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation

Towards Relatable Explainable AI with the Perceptual Process

Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation

TableChat: Mobile Food Journaling to Facilitate Family Support for Healthy Eating

Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda

Papers

Rules or Weights? Comparing User Understanding of Explainable AI Techniques with the Cognitive XAI-Adaptive Model

Transferable XAI: Relating Understanding Across Domains with Explanation Transfer

Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes

iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision

Learn AI Coding at CodeNow

Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments

Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers' Assessment Literacy

Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation

Robust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency

Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis

Incremental XAI: Memorable Understanding of AI with Incremental Explanations

RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions

Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning

Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation

Towards Relatable Explainable AI with the Perceptual Process

Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation

TableChat: Mobile Food Journaling to Facilitate Family Support for Healthy Eating

Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda

Rules or Weights? Comparing User Understanding of Explainable AI Techniques with the Cognitive XAI-Adaptive Model

Transferable XAI: Relating Understanding Across Domains with Explanation Transfer

Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes

iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision

Learn AI Coding at CodeNow

Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments

Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers' Assessment Literacy

Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation

Robust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency

Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis

Incremental XAI: Memorable Understanding of AI with Incremental Explanations

RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions

Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning

Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation

Towards Relatable Explainable AI with the Perceptual Process

Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation

TableChat: Mobile Food Journaling to Facilitate Family Support for Healthy Eating

Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda