{"total":59,"rows":[{"id":"2211.12737","title":"RoentGen: Vision-Language Foundation Model for Chest X-ray Generation","created":"2022-11-23","cited_by_count":89,"area":"mllm"},{"id":"2210.04133","title":"Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains","created":"2022-10-09","cited_by_count":86,"area":"mllm"},{"id":"2402.11622","title":"Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models","created":"2024-02-18","cited_by_count":47,"area":"mllm"},{"id":"2503.20047","title":"Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image Analysis","created":"2025-03-25","cited_by_count":46,"area":"mllm"},{"id":"2404.10618","title":"Private Attribute Inference from Images with Vision-Language Models","created":"2024-04-16","cited_by_count":37,"area":"mllm"},{"id":"2406.07904","title":"Grounding Multimodal Large Language Models in Actions","created":"2024-06-12","cited_by_count":35,"area":"mllm"},{"id":"2305.14897","title":"Text encoders bottleneck compositionality in contrastive vision-language models","created":"2023-05-24","cited_by_count":34,"area":"mllm"},{"id":"2505.10610","title":"MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly","created":"2025-05-15","cited_by_count":29,"area":"mllm"},{"id":"2408.10945","title":"HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models","created":"2024-08-20","cited_by_count":28,"area":"mllm"},{"id":"2402.16832","title":"Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space","created":"2024-02-26","cited_by_count":22,"area":"mllm"},{"id":"2503.23573","title":"DASH: Detection and Assessment of Systematic Hallucinations of VLMs","created":"2025-03-30","cited_by_count":14,"area":"mllm"},{"id":"2504.09083","title":"Using Vision Language Models for Safety Hazard Identification in Construction","created":"2025-04-12","cited_by_count":13,"area":"mllm"},{"id":"2505.19892","title":"OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging","created":"2025-05-26","cited_by_count":13,"area":"mllm"},{"id":"2502.14044","title":"Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data","created":"2025-02-19","cited_by_count":12,"area":"mllm"},{"id":"2402.01345","title":"Skip \\n: A Simple Method to Reduce Hallucination in Large Vision-Language Models","created":"2024-02-02","cited_by_count":9,"area":"mllm"},{"id":"2408.14496","title":"A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models","created":"2024-08-23","cited_by_count":9,"area":"mllm"},{"id":"2501.12206","title":"PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model","created":"2025-01-21","cited_by_count":8,"area":"mllm"},{"id":"2511.04727","title":"IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs","created":"2025-11-06","cited_by_count":8,"area":"mllm"},{"id":"2505.18413","title":"LatentLLM: Attention-Aware Joint Tensor Compression","created":"2025-05-23","cited_by_count":7,"area":"mllm"},{"id":"2406.09617","title":"Multimodal Large Language Models with Fusion Low Rank Adaptation for Device Directed Speech Detection","created":"2024-06-13","cited_by_count":6,"area":"mllm"},{"id":"2512.01922","title":"Med-VCD: Mitigating Hallucination for Medical Large Vision Language Models through Visual Contrastive Decoding","created":"2025-12-01","cited_by_count":6,"area":"mllm"},{"id":"2505.21547","title":"Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing","created":"2025-05-24","cited_by_count":5,"area":"mllm"},{"id":"2506.09883","title":"3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation","created":"2025-06-11","cited_by_count":5,"area":"mllm"},{"id":"2601.05201","title":"Mechanisms of Prompt-Induced Hallucination in Vision-Language Models","created":"2026-01-08","cited_by_count":5,"area":"mllm"},{"id":"2502.04192","title":"PixFoundation: Are We Heading in the Right Direction with Pixel-level Vision Foundation Models?","created":"2025-02-06","cited_by_count":4,"area":"mllm"},{"id":"2503.12149","title":"Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models","created":"2025-03-15","cited_by_count":4,"area":"mllm"},{"id":"2606.08615","title":"Harnessing Streaming Video in the Wild","created":"2026-06-07","cited_by_count":4,"area":"mllm"},{"id":"2406.17057","title":"At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal Models","created":"2024-06-24","cited_by_count":3,"area":"mllm"},{"id":"2506.21535","title":"Exploring the Design Space of 3D MLLMs for CT Report Generation","created":"2025-06-26","cited_by_count":3,"area":"mllm"},{"id":"2509.08461","title":"Adapting Vision-Language Models for Neutrino Event Classification in High-Energy Physics","created":"2025-09-10","cited_by_count":3,"area":"mllm"},{"id":"2411.00915","title":"Empower Vision Applications with LoRA LMM","created":"2024-11-01","cited_by_count":2,"area":"mllm"},{"id":"2412.10353","title":"Robust image classification with multi-modal large language models","created":"2024-12-13","cited_by_count":2,"area":"mllm"},{"id":"2501.05733","title":"TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/Videos","created":"2025-01-10","cited_by_count":2,"area":"mllm"},{"id":"2505.01064","title":"Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs","created":"2025-05-02","cited_by_count":2,"area":"mllm"},{"id":"2509.01341","title":"Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation","created":"2025-09-01","cited_by_count":2,"area":"mllm"},{"id":"2512.15977","title":"Are vision-language models ready to zero-shot replace supervised classification models in agriculture?","created":"2025-12-17","cited_by_count":2,"area":"mllm"},{"id":"2512.17012","title":"4D-RGPT: Toward Region-level 4D Understanding via Perceptual Distillation","created":"2025-12-18","cited_by_count":2,"area":"mllm"},{"id":"2602.03295","title":"POP: Prefill-Only Pruning for Efficient Large Model Inference","created":"2026-02-03","cited_by_count":2,"area":"mllm"},{"id":"2310.17737","title":"ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages","created":"2023-10-26","cited_by_count":1,"area":"mllm"},{"id":"2503.20362","title":"Self-ReS: Self-Reflection in Large Vision-Language Models for Long Video Understanding","created":"2025-03-26","cited_by_count":1,"area":"mllm"},{"id":"2506.06232","title":"Challenging Vision-Language Models with Surgical Data: A New Dataset and Broad Benchmarking Study","created":"2025-06-06","cited_by_count":1,"area":"mllm"},{"id":"2506.23663","title":"On the Domain Robustness of Contrastive Vision-Language Models","created":"2025-06-30","cited_by_count":1,"area":"mllm"},{"id":"2507.20077","title":"The Devil is in the EOS: Sequence Training for Detailed Image Captioning","created":"2025-07-26","cited_by_count":1,"area":"mllm"},{"id":"2601.15408","title":"CURE: Curriculum-guided Multi-task Training for Reliable Anatomy Grounded Report Generation","created":"2026-01-21","cited_by_count":1,"area":"mllm"},{"id":"2602.13650","title":"KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on the Korean Medical Licensing Examination","created":"2026-02-14","cited_by_count":1,"area":"mllm"},{"id":"2602.16019","title":"MedProbCLIP: Probabilistic Adaptation of Vision-Language Foundation Model for Reliable Radiograph-Report Retrieval","created":"2026-02-17","cited_by_count":1,"area":"mllm"},{"id":"2603.16092","title":"Parallel In-context Learning for Large Vision Language Models","created":"2026-03-17","cited_by_count":1,"area":"mllm"},{"id":"2605.13667","title":"SceneGraphVLM: Dynamic Scene Graph Generation from Video with Vision-Language Models","created":"2026-05-13","cited_by_count":1,"area":"mllm"},{"id":"2505.03374","title":"Reducing Annotation Burden in Physical Activity Research Using Vision-Language Models","created":"2025-05-06","cited_by_count":0,"area":"mllm"},{"id":"2507.09071","title":"BlindSight: Harnessing Sparsity for Efficient Vision-Language Models","created":"2025-07-11","cited_by_count":0,"area":"mllm"},{"id":"2509.23698","title":"VIVA+: Human-Centered Situational Decision-Making","created":"2025-09-28","cited_by_count":0,"area":"mllm"},{"id":"2603.16987","title":"Empirical Recipes for Efficient and Compact Vision-Language Models","created":"2026-03-17","cited_by_count":0,"area":"mllm"},{"id":"2603.19517","title":"ReXInTheWild: A Unified Benchmark for Medical Photograph Understanding","created":"2026-03-19","cited_by_count":0,"area":"mllm"},{"id":"2603.21584","title":"SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models","created":"2026-03-23","cited_by_count":0,"area":"mllm"},{"id":"2604.20696","title":"R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMs","created":"2026-04-22","cited_by_count":0,"area":"mllm"},{"id":"2608.18095","title":"Backdoor Learning in Language Models and Vision-Language Models","created":"2026-06-08","cited_by_count":0,"area":"mllm"},{"id":"2608.23143","title":"An end-to-end-trained vision-language model for native-language prostate pathology report generation","created":"2026-08-24","cited_by_count":0,"area":"mllm"},{"id":"2609.01657","title":"NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference","created":"2026-08-31","cited_by_count":0,"area":"mllm"},{"id":"2609.39836","title":"Spherical Interpolation for Backward-Compatible Multimodal Representations","created":"2026-09-30","cited_by_count":0,"area":"mllm"}],"next_cursor":null}