Artificial Intelligence › Core AI ›

Interpretability

7318 directly classified papers

Papers per year

Papers

Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis AAAI 2026

VeriFlow: Modeling Distributions for Neural Network Verification AAAI 2026

Topology-aware Knowledge Preservation for Class-Incremental Learning AAAI 2026

Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation AAAI 2026

RPTS: Tree-Structured Reasoning Process Scoring for Faithful Multimodal Evaluation AAAI 2026

Runtime Safety and Reach-avoid Prediction of Stochastic Systems via Observation-aware Barrier Functions AAAI 2026

Beyond World Models: Rethinking Understanding in AI Models AAAI 2026

Transparent Networks for Multivariate Time Series AAAI 2026

Realist and Pluralist Conceptions of Intelligence and Their Implications on AI Research AAAI 2026

Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation AAAI 2026

Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond AAAI 2026

A Human-AI Collaboration Mechanism Study on AIGC Assisted Image Production for Special Coverage AAAI 2026

Towards Trustworthy Multimodal AI Systems AAAI 2026

Spatial Graph Attention Network Modeling for Neighborhood-Scale Lead Contamination Risk Prediction Using Publicly Available Data AAAI 2026

Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory AAAI 2026

Breakable Machine: A K–12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI) AAAI 2026

The Future Is Neuro-Symbolic: Where Has It Been, and Where Is It Going? AAAI 2026

Learning Through Concepts: Hierarchies, Logic and Reasoning AAAI 2026

Trustworthy AI-Assisted Programming: Detection and Repair of Unreliable Code AAAI 2026

Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract) AAAI 2026

Privacy-Preserving Argumentative Explanations (Student Abstract) AAAI 2026

Guarding Digital Identity: Attention-Guided Fusion for Detecting Forged ID Documents (Student Abstract) AAAI 2026

Causal-LLM: Towards Predictive and Interpretable Spatiotemporal Foundation Models AAAI 2026

Do Large Language Models Think like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRI AAAI 2026

MAGIC: Multi-Agent Argumentation and Grammar Integrated Critiquer AAAI 2026