vision-language model

MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models EMNLP 2025 METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling ACL 2025 METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models ICCV 2025 MHALO: Evaluating MLLMs as Fine-grained Hallucination Detectors ACL 2025 MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal Output CVPR 2025 Mind the Gesture: Evaluating AI Sensitivity to Culturally Offensive Non-Verbal Gestures ACL 2025 Mind the (Language) Gap: Towards Probing Numerical and Cross-Lingual Limits of LVLMs EMNLP 2025 Mind the Prompt: A Novel Benchmark for Prompt-Based Class-Agnostic Counting WACV 2025 Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA AAAI 2025 Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key CVPR 2025 Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding NAACL 2025 Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting NAACL 2025 Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression EMNLP 2025 Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention CVPR 2025 Mitigating Spurious Correlations in Zero-Shot Multimodal Models ICLR 2025 Mixed Signals: Decoding VLMs’ Reasoning and Underlying Bias in Vision-Language Conflict EMNLP 2025 Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models ACL 2025 Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models ICLR 2025 MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models ACL 2025 MMAG: Multimodal Learning for Mucus Anomaly Grading in Nasal Endoscopy via Semantic Attribute Prompting EMNLP 2025 MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling CVPR 2025 MMCR: Benchmarking Cross-Source Reasoning in Scientific Papers ICCV 2025 mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data ACL 2025 MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models ICLR 2025 MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models AAAI 2025