{"total":125,"rows":[{"id":"2502.19634","title":"MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning","created":"2025-02-26","cited_by_count":173,"area":"lr"},{"id":"2505.02567","title":"Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities","created":"2025-05-05","cited_by_count":85,"area":null},{"id":"2404.03264","title":"Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions","created":"2024-04-04","cited_by_count":77,"area":null},{"id":"2504.02821","title":"Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models","created":"2025-04-03","cited_by_count":71,"area":"mllm"},{"id":"2411.12915","title":"VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge","created":"2024-11-19","cited_by_count":50,"area":"mllm"},{"id":"2501.02189","title":"A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges","created":"2025-01-04","cited_by_count":47,"area":"mllm"},{"id":"2410.00379","title":"CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset","created":"2024-10-01","cited_by_count":35,"area":null},{"id":"2504.04633","title":"M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering","created":"2025-04-06","cited_by_count":35,"area":"mllm"},{"id":"2406.03712","title":"A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions","created":"2024-06-06","cited_by_count":34,"area":null},{"id":"2501.18624","title":"Membership Inference Attacks Against Vision-Language Models","created":"2025-01-27","cited_by_count":29,"area":"mllm"},{"id":"2507.19024","title":"A Survey of Multimodal Hallucination Evaluation and Detection","created":"2025-07-25","cited_by_count":27,"area":"mllm"},{"id":"2504.09724","title":"A Survey on Efficient Vision-Language Models","created":"2025-04-13","cited_by_count":19,"area":"mllm"},{"id":"2506.03179","title":"Vid-SME: Membership Inference Attacks against Large Video Understanding Models","created":"2025-05-29","cited_by_count":19,"area":"mllm"},{"id":"2503.16023","title":"BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models","created":"2025-03-20","cited_by_count":17,"area":"safety"},{"id":"2409.12969","title":"Seeing Through Their Eyes: Evaluating Visual Perspective Taking in Vision Language Models","created":"2024-09-02","cited_by_count":15,"area":"mllm"},{"id":"2411.12783","title":"Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model","created":"2024-11-19","cited_by_count":15,"area":"mllm"},{"id":"2505.18915","title":"Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering","created":"2025-05-25","cited_by_count":14,"area":"lr"},{"id":"2504.04893","title":"SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models","created":"2025-04-07","cited_by_count":13,"area":"mllm"},{"id":"2508.00549","title":"Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images","created":"2025-08-01","cited_by_count":13,"area":"mllm"},{"id":"2411.12195","title":"A Survey of Medical Vision-and-Language Applications and Their Techniques","created":"2024-11-19","cited_by_count":11,"area":null},{"id":"2505.21472","title":"Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration","created":"2025-05-27","cited_by_count":11,"area":"mllm"},{"id":"2505.14728","title":"MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models","created":"2025-05-20","cited_by_count":10,"area":"mllm"},{"id":"2505.24173","title":"DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?","created":"2025-05-30","cited_by_count":10,"area":"lr"},{"id":"2509.20146","title":"EchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models","created":"2025-09-24","cited_by_count":9,"area":"mllm"},{"id":"2409.01883","title":"Boosting Vision-Language Models for Histopathology Classification: Predict all at once","created":"2024-09-03","cited_by_count":8,"area":"mllm"},{"id":"2410.01812","title":"From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice","created":"2024-09-14","cited_by_count":8,"area":null},{"id":"2510.00280","title":"ReEvalMed: Rethinking Medical Report Evaluation by Aligning Metrics with Real-World Clinical Judgment","created":"2025-09-30","cited_by_count":8,"area":null},{"id":"2602.24195","title":"Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume","created":"2026-02-27","cited_by_count":8,"area":"mllm"},{"id":"2505.00156","title":"V3LMA: Visual 3D-enhanced Language Model for Autonomous Driving","created":"2025-04-30","cited_by_count":7,"area":"mllm"},{"id":"2505.12343","title":"Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models","created":"2025-05-18","cited_by_count":7,"area":"mllm"},{"id":"2405.07460","title":"HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models","created":"2024-05-13","cited_by_count":6,"area":null},{"id":"2502.17132","title":"Applications of Large Models in Medicine","created":"2025-02-24","cited_by_count":6,"area":null},{"id":"2509.23724","title":"Video Panels for Long Video Understanding","created":"2025-09-28","cited_by_count":6,"area":null},{"id":"2412.04606","title":"Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation","created":"2024-12-05","cited_by_count":5,"area":null},{"id":"2502.14834","title":"LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models","created":"2025-02-20","cited_by_count":5,"area":"mllm"},{"id":"2503.06888","title":"A LongFormer-Based Framework for Accurate and Efficient Medical Text Summarization","created":"2025-03-10","cited_by_count":5,"area":null},{"id":"2503.20504","title":"UniVRSE: Unified Vision-conditioned Response Semantic Entropy for Hallucination Detection in Medical Vision-Language Models","created":"2025-03-26","cited_by_count":5,"area":"mllm"},{"id":"2506.22900","title":"MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering","created":"2025-06-28","cited_by_count":5,"area":null},{"id":"2510.12178","title":"Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey","created":"2025-10-14","cited_by_count":5,"area":null},{"id":"2410.24148","title":"Exploring Vision Language Models for Facial Attribute Recognition: Emotion, Race, Gender, and Age","created":"2024-10-31","cited_by_count":4,"area":"mllm"},{"id":"2501.14101","title":"StreamingRAG: Real-time Contextual Retrieval and Generation Framework","created":"2025-01-23","cited_by_count":4,"area":"rag"},{"id":"2504.04323","title":"MedM-VL: What Makes a Good Medical LVLM?","created":"2025-04-06","cited_by_count":4,"area":null},{"id":"2508.12455","title":"X-Ray-CoT: Interpretable Chest X-ray Diagnosis with Vision-Language Models via Chain-of-Thought Reasoning","created":"2025-08-17","cited_by_count":4,"area":"lr"},{"id":"2511.01952","title":"Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing","created":"2025-11-03","cited_by_count":4,"area":"mllm"},{"id":"2511.13478","title":"Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling","created":"2025-11-17","cited_by_count":4,"area":"mllm"},{"id":"2511.19641","title":"On the Utility of Foundation Models for Fast MRI: Vision-Language-Guided Image Reconstruction","created":"2025-11-24","cited_by_count":4,"area":"mllm"},{"id":"2410.07824","title":"Exploring Foundation Models in Remote Sensing Image Change Detection: A Comprehensive Survey","created":"2024-10-10","cited_by_count":3,"area":null},{"id":"2508.17290","title":"MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level Assessment","created":"2025-08-24","cited_by_count":3,"area":"mllm"},{"id":"2509.16476","title":"Eye Gaze Tells You Where to Compute: Gaze-Driven Efficient VLMs","created":"2025-09-20","cited_by_count":3,"area":"mllm"},{"id":"2509.22404","title":"RAU: Reference-based Anatomical Understanding with Vision Language Models","created":"2025-09-26","cited_by_count":3,"area":"mllm"},{"id":"2601.17644","title":"Do Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks","created":"2026-01-25","cited_by_count":3,"area":"rag"},{"id":"2403.19444","title":"Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays","created":"2024-03-28","cited_by_count":2,"area":null},{"id":"2503.02034","title":"Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA","created":"2025-03-03","cited_by_count":2,"area":null},{"id":"2505.03821","title":"Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models","created":"2025-05-03","cited_by_count":2,"area":"mllm"},{"id":"2508.16674","title":"MedRepBench: A Comprehensive Benchmark for Medical Report Interpretation","created":"2025-08-21","cited_by_count":2,"area":null},{"id":"2508.17215","title":"How to make Medical AI Systems safer? Simulating Vulnerabilities, and Threats in Multimodal Medical RAG System","created":"2025-08-24","cited_by_count":2,"area":"mllm"},{"id":"2607.04163","title":"SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering","created":"2026-07-05","cited_by_count":2,"area":"mllm"},{"id":"2403.10635","title":"MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment","created":"2024-03-15","cited_by_count":1,"area":null},{"id":"2404.14755","title":"SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language Models","created":"2024-04-23","cited_by_count":1,"area":"mllm"},{"id":"2405.08226","title":"Self-Normalizing Foundation Model for Enhanced Multi-Omics Data Analysis in Oncology","created":"2024-05-13","cited_by_count":1,"area":null},{"id":"2411.07871","title":"Leveraging Multimodal Models for Enhanced Neuroimaging Diagnostics in Alzheimer's Disease","created":"2024-11-12","cited_by_count":1,"area":"mllm"},{"id":"2412.10955","title":"Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records","created":"2024-12-14","cited_by_count":1,"area":null},{"id":"2412.17505","title":"More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models","created":"2024-12-23","cited_by_count":1,"area":null},{"id":"2504.02885","title":"Med-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation","created":"2025-04-02","cited_by_count":1,"area":"lr"},{"id":"2506.09067","title":"Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations","created":"2025-06-08","cited_by_count":1,"area":"mllm"},{"id":"2508.02841","title":"A Multi-Agent System for Complex Reasoning in Radiology Visual Question Answering","created":"2025-08-04","cited_by_count":1,"area":"lr"},{"id":"2508.12458","title":"M3PO: Multimodal-Model-Guided Preference Optimization for Visual Instruction Following","created":"2025-08-17","cited_by_count":1,"area":"mllm"},{"id":"2508.15168","title":"XDR-LVLM: An Explainable Vision-Language Large Model for Diabetic Retinopathy Diagnosis","created":"2025-08-21","cited_by_count":1,"area":null},{"id":"2510.02328","title":"AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering","created":"2025-09-26","cited_by_count":1,"area":"mllm"},{"id":"2510.15418","title":"Fine-Tuning MedGemma for Clinical Captioning to Enhance Multimodal RAG over Malaysia CPGs","created":"2025-10-17","cited_by_count":1,"area":"rag"},{"id":"2512.03463","title":"Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models","created":"2025-12-03","cited_by_count":1,"area":"mllm"},{"id":"2601.05939","title":"Context-Aware Decoding for Faithful Vision-Language Generation","created":"2026-01-09","cited_by_count":1,"area":"lr"},{"id":"2602.20951","title":"See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis","created":"2026-02-24","cited_by_count":1,"area":"diffusion"},{"id":"2603.08800","title":"Granulon: Awakening Pixel-Level Visual Encoders with Adaptive Multi-Granularity Semantics for MLLM","created":"2026-03-09","cited_by_count":1,"area":"mllm"},{"id":"2604.17318","title":"When Background Matters: Breaking Medical Vision Language Models by Transferable Attack","created":"2026-04-19","cited_by_count":1,"area":"mllm"},{"id":"2604.27559","title":"RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation","created":"2026-04-30","cited_by_count":1,"area":null},{"id":"2605.23629","title":"DDX-TRACE: A Benchmark for Medical Diagnostic Trajectories in VLMs","created":"2026-05-22","cited_by_count":1,"area":null},{"id":"2605.27916","title":"OphIn-500K: Curating Web-Scale Visual Instructions for Scaling Ophthalmic Multimodal Large Language Models","created":"2026-05-27","cited_by_count":1,"area":"mllm"},{"id":"2606.04911","title":"BreastGPT: A Multimodal Large Language Model for the Full Spectrum of Breast Cancer Clinical Routine","created":"2026-06-03","cited_by_count":1,"area":"mllm"},{"id":"2406.12897","title":"Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability","created":"2024-06-07","cited_by_count":0,"area":null},{"id":"2408.01431","title":"Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models","created":"2024-07-18","cited_by_count":0,"area":null},{"id":"2409.00255","title":"MAPWise: Evaluating Vision-Language Models for Advanced Map Queries","created":"2024-08-30","cited_by_count":0,"area":"mllm"},{"id":"2502.15389","title":"The Role of Background Information in Reducing Object Hallucination in Vision-Language Models: Insights from Cutoff API Prompting","created":"2025-02-21","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":"2508.14118","title":"Hallucinations in medical devices","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2508.20345","title":"MedFoundationHub: A Lightweight and Secure Toolkit for Deploying Medical Vision Language Foundation Models","created":"2025-08-28","cited_by_count":0,"area":"mllm"},{"id":"2509.06033","title":"Analysis of Blood Report Images Using General Purpose Vision-Language Models","created":"2025-09-07","cited_by_count":0,"area":"mllm"},{"id":"2509.13590","title":"Intelligent Healthcare Imaging Platform: A VLM-Based Framework for Automated Medical Image Analysis and Clinical Report Generation","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2510.00088","title":"Judging by Appearances? Auditing and Intervening Vision-Language Models for Bail Prediction","created":"2025-09-30","cited_by_count":0,"area":"mllm"},{"id":"2510.12267","title":"SpineBench: Benchmarking Multimodal LLMs for Spinal Pathology Analysis","created":"2025-10-14","cited_by_count":0,"area":"mllm"},{"id":"2510.24115","title":"HistoLens: An Interactive XAI Toolkit for Verifying and Mitigating Flaws in Vision-Language Models for Histopathology","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2511.02271","title":"Medical Report Generation: A Hierarchical Task Structure-Based Cross-Modal Causal Intervention Framework","created":"2025-11-04","cited_by_count":0,"area":null},{"id":"2511.13131","title":"MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications","created":"2025-11-17","cited_by_count":0,"area":"mllm"},{"id":"2512.19663","title":"Beyond CLIP: Knowledge-Enhanced Multimodal Transformers for Cross-Modal Alignment in Diabetic Retinopathy Diagnosis","created":"2025-12-22","cited_by_count":0,"area":null},{"id":"2601.01613","title":"CAP-IQA: Context-Aware Prompt-Guided CT Image Quality Assessment","created":"2026-01-04","cited_by_count":0,"area":null},{"id":"2601.17082","title":"Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models","created":"2026-01-23","cited_by_count":0,"area":"mllm"},{"id":"2602.00485","title":"Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models","created":"2026-01-31","cited_by_count":0,"area":"mllm"},{"id":"2602.02408","title":"ReasonEdit: Editing Vision-Language Models using Human Reasoning","created":"2026-02-02","cited_by_count":0,"area":"lr"},{"id":"2602.12002","title":"Can Local Vision-Language Models improve Activity Recognition over Vision Transformers? -- Case Study on Newborn Resuscitation","created":"2026-02-12","cited_by_count":0,"area":"mllm"},{"id":"2602.15650","title":"Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation","created":"2026-02-17","cited_by_count":0,"area":"mllm"}],"next_cursor":"100"}