model explanation

From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm AAAI 2026 Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation ACL 2026 Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation ACL 2025 Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning ICLR 2025 Data-centric Prediction Explanation via Kernelized Stein Discrepancy ICLR 2025 Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons ICLR 2025 Fast Explanations via Policy Gradient-Optimized Explainer IJCAI 2025 Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse ICLR 2025 InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly ICLR 2025 InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series AAAI 2025 Interpreting Language Reward Models via Contrastive Explanations ICLR 2025 LLMs Don’t Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations EMNLP 2025 MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation ICLR 2025 Metric-Driven Attributions for Vision Transformers ICLR 2025 On the Computational Tractability of the (Many) Shapley Values AISTATS 2025 Strengths and Limitations of Word-Based Task Explainability in Vision Language Models: a Case Study on Biological Sex Biases in the Medical Domain ACL 2025 Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation AAAI 2025 Towards a Unified and Verified Understanding of Group-Operation Networks ICLR 2025 Unlocking the Game: Estimating Games in Möbius Representation for Explanation and High-Order Interaction Detection AAAI 2025 When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations ACL 2025 Causal Analysis for Robust Interpretability of Neural Networks WACV 2024 Digital Socrates: Evaluating LLMs through Explanation Critiques ACL 2024 Fostering Trustworthiness in Machine Learning Algorithms AAAI 2024 From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning NAACL 2024 G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024