explanation quality

Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations ACL 2026 ConSim: Measuring Concept-Based Explanations’ Effectiveness with Automated Simulatability ACL 2025 Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution AAAI 2025 Evaluating LLM-Generated Legal Explanations for Regulatory Compliance in Social Media Influencer Marketing EMNLP 2025 Explanations explained. Influence of Free-text Explanations on LLMs and the Role of Implicit Knowledge EMNLP 2025 LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs NAACL 2025 Rubrik’s Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset ACL 2025 Modeling the Quality of Dialogical Explanations COLING 2024 Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics ACML 2024 Selective Explanations NeurIPS 2024 Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations ACL 2023 Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges IJCAI 2023 The Solvability of Interpretability Evaluation Metrics EACL 2023 ExSum: From Local Explanations to Model Understanding NAACL 2022 How Good Is Your Explanation? Algorithmic Stability Measures To Assess the Quality of Explanations for Deep Neural Networks WACV 2022 Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions ACL 2022