mechanistic interpretability

Beyond I’m Sorry, I Can’t: Dissecting Large-Language-Model Refusal AAAI 2026 Beyond Top Activations: Efficient and Reliable Crowdsourced Evaluation of Automated Interpretability CVPR 2026 Beyond Transcription: Mechanistic Interpretability in ASR AAAI 2026 Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language Models CoNLL 2026 Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation AAAI 2026 Cell-Based Representation of Relational Binding in Language Models ACL 2026 Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability UAI 2026 Circuit Mechanisms for Spatial Relation Generation in Diffusion Transformers CVPR 2026 Constructing Interpretable Features from Compositional Neuron Groups ACL 2026 Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models AAAI 2026 Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers ACL 2026 Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process ACL 2026 Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients CVPR 2026 From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models ACL 2026 GKnow: Measuring the Entanglement of Gender Bias and Factual Gender ACL 2026 Global Information Thresholding for Sufficient and Necessary Circuits CVPR 2026 How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding AAAI 2026 How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective EACL 2026 I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders AAAI 2026 Interpretable and Steerable Concept Bottleneck Sparse Autoencoders CVPR 2026 LLM Parameters for Math Across Languages: Shared or Separate? ACL 2026 Make Mechanistic Interpretability Auditable: A Call to Develop Guidelines via Continuous Collaborative Reviewing ACL 2026 Measuring Mechanistic Independence: Can Bias Be Removed Without Erasing Demographics? EACL 2026 Mechanisms of Object Localization in Vision-Language Models CVPR 2026 Mechanisms of Prompt-Induced Hallucination in Vision–Language Models ACL 2026