Interpretability

Identifying and Analyzing Performance-Critical Tokens in Large Language Models AAAI 2026 Identity-Aware Vision-Language Model for Explainable Face Forgery Detection AAAI 2026 iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract) AAAI 2026 IEBGL:An Interpretability-Enhanced Brain Graph Learning Framework with LLM-Instructed Topology and Literature-Augmented Semantics CVPR 2026 If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models EACL 2026 I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders AAAI 2026 I Know, but I Don’t Know! How Persona Conflict Undermines Instruction Adherence in Large Language Models EACL 2026 IMPACT: Interpretable Most Important Person Analysis and Classification using Transformer-based Models WACV 2026 Improving CAPTCHA Robustness via Controlled Image Corruptions (Student Abstract) AAAI 2026 Improving Sparse Autoencoder with Dynamic Attention CVPR 2026 IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding Modulation EACL 2026 IncreFA: Breaking the Static Wall of Generative Model Attribution CVPR 2026 Indic-TunedLens: Interpreting Multilingual Models in Indian Languages EACL 2026 Injection Without Distortion: Geometrically Constrained Knowledge Enhancement for Vision-Language Models AAAI 2026 Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings CVPR 2026 IntelliProof: An Argumentation Network-based Conversational Helper for Organized Reflection AAAI 2026 Interpretability of LLM Classifiers via the Rational Inattention Theory with Application to Hate Speech Detection ACL 2026 Interpretable Adversarial Reinforcement Learning AAAI 2026 Interpretable and Robust Behavior Abstraction via Environment-Disentangled Heterogeneous Graph AAAI 2026 Interpretable and Steerable Concept Bottleneck Sparse Autoencoders CVPR 2026 Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment CVPR 2026 Interpretable Debiasing of Vision-Language Models for Social Fairness CVPR 2026 Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use EACL 2026 Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection AAAI 2026 Interpretable Prompts made Edit-Friendly: Token-to-Token Similarity Reduction in dLLMs for Edit-Friendly Hard Prompt Inversion CVPR 2026