{"total":30,"rows":[{"id":"2402.09181","title":"OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM","created":"2024-02-14","cited_by_count":184,"area":"mllm"},{"id":"2409.15272","title":"OmniBench: Towards The Future of Universal Omni-Language Models","created":"2024-09-23","cited_by_count":102,"area":"mllm"},{"id":"2410.13085","title":"MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models","created":"2024-10-16","cited_by_count":85,"area":"mllm"},{"id":"2403.14077","title":"Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics","created":"2024-03-21","cited_by_count":69,"area":"mllm"},{"id":"2406.06007","title":"CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models","created":"2024-06-10","cited_by_count":64,"area":"mllm"},{"id":"2405.13800","title":"Dense Connector for MLLMs","created":"2024-05-22","cited_by_count":49,"area":"mllm"},{"id":"2405.08807","title":"SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation","created":"2024-05-14","cited_by_count":48,"area":"mllm"},{"id":"2501.01377","title":"Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback","created":"2025-01-02","cited_by_count":42,"area":"mllm"},{"id":"2311.14656","title":"Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs","created":"2023-11-24","cited_by_count":34,"area":"mllm"},{"id":"2410.12694","title":"VividMed: Vision Language Model with Versatile Visual Grounding for Medicine","created":"2024-10-16","cited_by_count":28,"area":"mllm"},{"id":"2409.15477","title":"MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models","created":"2024-09-23","cited_by_count":23,"area":"mllm"},{"id":"2412.06141","title":"MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization","created":"2024-12-09","cited_by_count":21,"area":"mllm"},{"id":"2401.15071","title":"From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities","created":"2024-01-26","cited_by_count":19,"area":"mllm"},{"id":"2405.20421","title":"Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA","created":"2024-05-30","cited_by_count":19,"area":"mllm"},{"id":"2409.17508","title":"Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE","created":"2024-09-26","cited_by_count":19,"area":"mllm"},{"id":"2411.09273","title":"Cross-Modal Consistency in Multimodal Large Language Models","created":"2024-11-14","cited_by_count":19,"area":"mllm"},{"id":"2402.11217","title":"A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models","created":"2024-02-17","cited_by_count":16,"area":"mllm"},{"id":"2501.15269","title":"Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink","created":"2025-01-25","cited_by_count":15,"area":"mllm"},{"id":"2408.04868","title":"ChatGPT Meets Iris Biometrics","created":"2024-08-09","cited_by_count":14,"area":"mllm"},{"id":"2311.04199","title":"Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study","created":"2023-11-07","cited_by_count":12,"area":"mllm"},{"id":"2407.10385","title":"By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting","created":"2024-07-15","cited_by_count":12,"area":"mllm"},{"id":"2410.12722","title":"WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation","created":"2024-10-16","cited_by_count":11,"area":"mllm"},{"id":"2311.07547","title":"GPT-4V(ision) as A Social Media Analysis Engine","created":"2023-11-13","cited_by_count":6,"area":"mllm"},{"id":"2312.04344","title":"Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies","created":"2023-12-07","cited_by_count":4,"area":"mllm"},{"id":"2509.23379","title":"CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding","created":"2025-09-27","cited_by_count":4,"area":"mllm"},{"id":"2511.19155","title":"EEG-VLM: A Hierarchical Vision-Language Model with Multi-Level Feature Alignment and Visually Enhanced Language-Guided Reasoning for EEG Image-Based Sleep Stage Prediction","created":"2025-11-24","cited_by_count":3,"area":"mllm"},{"id":"2508.02951","title":"MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine","created":"2025-08-04","cited_by_count":1,"area":"mllm"},{"id":"2509.09064","title":"Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models","created":"2025-09-11","cited_by_count":1,"area":"mllm"},{"id":"2312.12383","title":"Visual AI and Linguistic Intelligence Through Steerability and Composability","created":"2023-11-18","cited_by_count":0,"area":"mllm"},{"id":"2509.04480","title":"Discrete Prompt Tuning via Recursive Utilization of Black-box Multimodal Large Language Model for Personalized Visual Emotion Recognition","created":"2025-08-30","cited_by_count":0,"area":"mllm"}],"next_cursor":null}