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Interpretability

7318 directly classified papers

Papers per year

Papers

Causal Activation Steering via Sparse Mediation EACL 2026

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

Automated Unified Reasoning with Vision-Language Models for Multi-modal Burn Assessment AAAI 2026

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

Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026

Empowering LLMs with Symbolic Representation and Reasoning AAAI 2026

Factuality Evaluation Using Reasoning and World Modeling AAAI 2026

Learning Through Concepts: Hierarchies, Logic and Reasoning AAAI 2026

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

On the Computational Tractability of Probabilistic Global and Local Sufficient Explanation AAAI 2026

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

When Reasoning Collapses: A Depth-Aware Probe into LLM Reasoning (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

Trustworthy Classification for Complex Social Surveys: A Memory-Enhanced Hierarchical Framework with Calibrated Uncertainty AAAI 2026

Explainable Oracle Bone Script Recognition via Multimodal Pictographic Reasoning AAAI 2026

Judging by the Rules: Compliance-Aligned Framework for Modern Slavery Statement Monitoring AAAI 2026

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

Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach AAAI 2026

Causal Explanations for Sequential Decision Making (Abstract Reprint) AAAI 2026

A Fortiori Case-Based Reasoning: From Theory to Data (Abstract Reprint) AAAI 2026

On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios (Abstract Reprint) AAAI 2026

Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design AAAI 2026

Transparent Networks for Multivariate Time Series AAAI 2026

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