3 papers
cs.CV2026
MI-CXR: A Benchmark for Longitudinal Reasoning over Multi-Interval Chest X-rays
Sunghwan Steve Cho, Yunseok Han, Jaeyoung Do
Longitudinal chest X-ray (CXR) interpretation requires reasoning over disease evolution across multiple patient visits, yet most existing medical VQA benchmarks focus on single ima…
cs.CL2026
MATA: Multi-Agent Framework for Reliable and Flexible Table Question Answering
Sieun Hyeon, Jusang Oh, Sunghwan Steve Cho +1
Recent advances in Large Language Models (LLMs) have significantly improved table understanding tasks such as Table Question Answering (TableQA), yet challenges remain in ensuring…
cs.CV2026
MEDIC-AD: Towards Medical Vision-Language Model's Clinical Intelligence
Woohyeon Park, Jaeik Kim, Sunghwan Steve Cho +7
Lesion detection, symptom tracking, and visual explainability are central to real-world medical image analysis, yet current medical Vision-Language Models (VLMs) still lack mechani…