Interpretability

Breakable Machine: A K–12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI) AAAI 2026 Bridging Internal Consistency and External Alignment: A Causal and Dynamic Interpretability Framework for LLM Generation ACL 2026 Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language Models CoNLL 2026 Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs AAAI 2026 BRI-MH: Behavioral Risk Index for Mental Health — An Interpretable Multimodal LLM-Augmented Framework (Student Abstract) AAAI 2026 BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks AAAI 2026 Building a Bridge Between the Shapley Value, Prime Implicants and Counterfactual Explanations: a Theoretical Analysis UAI 2026 Building Interpretable, Trust-worthy Systems for Neural Signal Decoding AAAI 2026 CAAC: Confidence-Aware Attention Calibration to Reduce Hallucinations in Large Vision-Language Models WACV 2026 Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation ACL 2026 Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models ACL 2026 Can Activation Steering Generalize Across Languages? A Study on Syllogistic Reasoning in Language Models EACL 2026 Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models AAAI 2026 Can You Tell the Difference? Contrastive Explanations for ABox Entailments AAAI 2026 Can You Trust What I Think? Analyzing and Improving Verbalized Uncertainty and Factuality in Reasoning-Based Large Language Models AAAI 2026 Can You Trust Your Model? Constructing Uncertainty Approximations Guaranteeing Validity of Glioma Segmentation Explanations MIDL 2026 CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations AAAI 2026 Causal Activation Steering via Sparse Mediation EACL 2026 Causal-ESC: Reliable Policy Learning for Emotional Support Conversation via Causal Inference ACL 2026 Causal Explanations for Sequential Decision Making (Abstract Reprint) AAAI 2026 Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention AAAI 2026 Causality-Driven Audits of Model Robustness WACV 2026 Causal-LLM: Towards Predictive and Interpretable Spatiotemporal Foundation Models AAAI 2026 Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation AAAI 2026 cc-Shapley: Measuring Multivariate Feature Importance Needs Causal Context UAI 2026