visual question answering

LMM-Det: Make Large Multimodal Models Excel in Object Detection ICCV 2025 LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages AAAI 2025 MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering ACL 2025 MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale ACL 2025 Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understanding CVPR 2025 MAviS: A Multimodal Conversational Assistant For Avian Species EMNLP 2025 McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension AAAI 2025 MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models ICLR 2025 MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine ICLR 2025 Memory-QA: Answering Recall Questions Based on Multimodal Memories EMNLP 2025 MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation EMNLP 2025 MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research CVPR 2025 MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal Output CVPR 2025 Mind the (Language) Gap: Towards Probing Numerical and Cross-Lingual Limits of LVLMs EMNLP 2025 Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA AAAI 2025 Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment ICLR 2025 MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs ICLR 2025 MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection ICLR 2025 MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? ICLR 2025 MM-R3: On (In-)Consistency of Vision-Language Models (VLMs) ACL 2025 MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs ICCV 2025 MMXU: A Multi-Modal and Multi-X-ray Understanding Dataset for Disease Progression ACL 2025 MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering NAACL 2025 Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models CVPR 2025 MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models CVPR 2025