{"total":15,"rows":[{"id":"2305.17100","title":"BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks","created":"2023-05-26","cited_by_count":201,"area":"mllm"},{"id":"2406.06512","title":"Merlin: A Computed Tomography Vision-Language Foundation Model and Dataset","created":"2024-06-10","cited_by_count":102,"area":"mllm"},{"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":"2311.13668","title":"MAIRA-1: A specialised large multimodal model for radiology report generation","created":"2023-11-22","cited_by_count":74,"area":"mllm"},{"id":"2502.03333","title":"RadVLM: A Multitask Conversational Vision-Language Model for Radiology","created":"2025-02-05","cited_by_count":25,"area":"mllm"},{"id":"2412.04954","title":"Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation","created":"2024-12-06","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":"2312.01504","title":"Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation","created":"2023-12-03","cited_by_count":3,"area":"mllm"},{"id":"2511.09195","title":"Towards Trustworthy Dermatology MLLMs: A Benchmark and Multimodal Evaluator for Diagnostic Narratives","created":"2025-11-12","cited_by_count":2,"area":"mllm"},{"id":"2307.07409","title":"KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization","created":"2023-07-10","cited_by_count":1,"area":"mllm"},{"id":"2405.01591","title":"Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language Model","created":"2024-04-29","cited_by_count":0,"area":"mllm"},{"id":"2410.07111","title":"Utility of Multimodal Large Language Models in Analyzing Chest X-ray with Incomplete Contextual Information","created":"2024-09-20","cited_by_count":0,"area":"mllm"},{"id":"2511.13135","title":"MedGEN-Bench: A Contextually Entangled Benchmark for Open-ended Multimodal Medical Generation","created":"2025-11-17","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"},{"id":"2608.11534","title":"CT-$\\Delta$Bench: A Benchmark for Longitudinal 3D Medical Imaging Difference Reporting with Vision-Language Models","created":"2026-08-12","cited_by_count":0,"area":"mllm"}],"next_cursor":null}