conftrace_

explainable ai

480 papers

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Co-occurring keywords

feature attribution (280) explainable artificial intelligence (130) large language model (13587) model interpretability (519) text classification (6793) counterfactual explanation (139) neural network (6616) shapley value (206) graph neural network (3962) saliency map (125)

Papers

A Unified, Resilient, and Explainable Adversarial Patch Detector CVPR 2025
Where, What, Why: Towards Explainable Driver Attention Prediction ICCV 2025
DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document Understanding ICCV 2025
EMaP: Explainable AI with Manifold-based Perturbations JMLR 2025
Constructing Fair Latent Space for Intersection of Fairness and Explainability AAAI 2025
MoMoE: Mixture of Moderation Experts Framework for AI-Assisted Online Governance EMNLP 2025
AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents EMNLP 2025
Data Descriptions from Large Language Models with Influence Estimation EMNLP 2025
o-MEGA: Optimized Methods for Explanation Generation and Analysis EMNLP 2025
EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations ACL 2025
Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training EMNLP 2025
Explainable ICD Coding via Entity Linking NAACL 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models CVPR 2025
Even-if Explanations: Formal Foundations, Priorities and Complexity AAAI 2025
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments AAAI 2025
ScamNet: Toward Explainable Large Language Model-Based Fraudulent Shopping Website Detection AAAI 2025
iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback AAAI 2025
TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and Logic AAAI 2025
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint AAAI 2025
Explainable Graph Representation Learning via Graph Pattern Analysis IJCAI 2025
Large-Scale School Mapping Using Weakly Supervised Deep Learning for Universal School Connectivity AAAI 2025
Towards Trustable SHAP Scores AAAI 2025
FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning ICCV 2025
Measuring Cross-Modal Interactions in Multimodal Models AAAI 2025
Visual Analytics for Guiding Feature Attribution Method Selection IJCAI 2025