Interpretability

Unlocking the Game: Estimating Games in Möbius Representation for Explanation and High-Order Interaction Detection AAAI 2025 Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning ICLR 2025 Unpacking Ambiguity: The Interaction of Polysemous Discourse Markers and Non-DM Signals EMNLP 2025 Unraveling Misinformation Propagation in LLM Reasoning EMNLP 2025 Unraveling the Influence of Training Data and Internal Structures in Large Language Models for Enhanced Explainability (Student Abstract) AAAI 2025 Unravelling Causal Genetic Biomarkers of Alzheimer’s Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach AAAI 2025 Unsupervised Automatic Short Answer Grading and Essay Scoring: A Weakly Supervised Explainable Approach ACL 2025 Unsupervised Concept Vector Extraction for Bias Control in LLMs EMNLP 2025 Unsupervised Hallucination Detection by Inspecting Reasoning Processes EMNLP 2025 Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement EMNLP 2025 Unveiling AI’s Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors ICML 2025 Unveiling Confirmation Bias in Chain-of-Thought Reasoning ACL 2025 Unveiling Cultural Blind Spots: Analyzing the Limitations of mLLMs in Procedural Text Comprehension ACL 2025 Unveiling Internal Reasoning Modes in LLMs: A Deep Dive into Latent Reasoning vs. Factual Shortcuts with Attribute Rate Ratio EMNLP 2025 Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability COLING 2025 Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders ACL 2025 Unveiling Multimodal Processing: Exploring Activation Patterns in Multimodal LLMs for Interpretability and Efficiency EMNLP 2025 Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly CVPR 2025 Unveiling the Influence of Amplifying Language-Specific Neurons IJCNLP 2025 Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens EMNLP 2025 Unveiling Visual Perception in Language Models: An Attention Head Analysis Approach CVPR 2025 User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs ACL 2025 User-side Model Consistency Monitoring for Open Source Large Language Models Inference Services ACL 2025 Using Explainable AI and Hierarchical Planning for Outreach with Robots AAAI 2025 Using Shapley interactions to understand how models use structure ACL 2025