Interpretability

Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models ICLR 2025 MIP-GAF: A MLLM-Annotated Benchmark for Most Important Person Localization and Group Context Understanding WACV 2025 MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models ICLR 2025 Mirror Minds : An Empirical Study on Detecting LLM-Generated Text via LLMs COLING 2025 Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking ACL 2025 Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement AAAI 2025 Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning EMNLP 2025 Mitigating Hallucination by Integrating Knowledge Graphs into LLM Inference – a Systematic Literature Review ACL 2025 Mitigating Hallucination in Large Vision-Language Models through Aligning Attention Distribution to Information Flow EMNLP 2025 Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow AAAI 2025 Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression EMNLP 2025 Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization ICLR 2025 Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention CVPR 2025 Mitigating Object Hallucinations via Sentence-Level Early Intervention ICCV 2025 Mixed Signals: Decoding VLMs’ Reasoning and Underlying Bias in Vision-Language Conflict EMNLP 2025 Mixed Signals: Understanding Model Disagreement in Multimodal Empathy Detection IJCNLP 2025 Mixture of Experts Made Intrinsically Interpretable ICML 2025 MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation ICLR 2025 MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs ICLR 2025 MMAG: Multimodal Learning for Mucus Anomaly Grading in Nasal Endoscopy via Semantic Attribute Prompting EMNLP 2025 MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models ICLR 2025 MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation NAACL 2025 MM-R3: On (In-)Consistency of Vision-Language Models (VLMs) ACL 2025 MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models ACL 2025 MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding ICML 2025