Interpretability

Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection CVPR 2026 MLLM Enriched Explainable Multiple Clustering AAAI 2026 Model Internal Sleuthing: Finding Lexical Identity and Inflectional Features in Modern Language Models ACL 2026 More Than Meets the Eye: Measuring the Semiotic Gap in Vision-Language Models via Semantic Anchorage ACL 2026 MorphXAI: An Explainable Framework for Morphological Analysis of Parasites in Blood Smear Images WACV 2026 Multi-component Causal Tracing in Large Language Models ACL 2026 Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces AAAI 2026 MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation WACV 2026 Natural-Language Policies to Executable Decisions: An Interpretable Large Language Model Framework ACL 2026 NEAT-IR: Neural Explainable Analysis Tool for Information Retrieval ACL 2026 NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models AAAI 2026 Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis EACL 2026 Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling AAAI 2026 NeuS-QA: Grounding Long-Form Video Understanding in Temporal Logic and Neuro-Symbolic Reasoning AAAI 2026 NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation AAAI 2026 NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework AAAI 2026 Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict AAAI 2026 Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation AAAI 2026 Now You Hear Me: Audio Narrative Attacks Against Large Audio–Language Models EACL 2026 NP-Hard Lower Bound Complexity for Semantic Self-Verification EACL 2026 OMEGA: An Ontology-Driven Tool for Explaining Multi-Agent Path Finding AAAI 2026 On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios (Abstract Reprint) AAAI 2026 Online Conformal Selection with Accept-to-Reject Changes AAAI 2026 On Logical Extrapolation for Mazes with Recurrent and Implicit Networks AAAI 2026 On the Computational Tractability of Probabilistic Global and Local Sufficient Explanation AAAI 2026