A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties
EdWorld
community
AI & ML interests
Medical AI, Natural Language Processing, Persona Agents, User Simulation
Try interactive demos and help improve the model by providing human feedback or annotations.
A collection of interactive research demos where you can explore to our work.
A collection of Korean medical QA benchmarks based on the Korean Medical Licensing Examination, including both text-only and multimodal subsets.
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sean0042/KorMedMCQA
Viewer • Updated • 7.49k • 4.41k • 36 -
KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations
Paper • 2403.01469 • Published -
seongsubae/KorMedMCQA-V
Viewer • Updated • 1.84k • 185 • 8 -
KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on the Korean Medical Licensing Examination
Paper • 2602.13650 • Published
A benchmark that measures national alignment with South Korea from social values and common knoweldge
A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset (CVPR 2026)
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records (CHIL 2025)
A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties
A benchmark that measures national alignment with South Korea from social values and common knoweldge
A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
Try interactive demos and help improve the model by providing human feedback or annotations.
Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset (CVPR 2026)
A collection of interactive research demos where you can explore to our work.
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records (CHIL 2025)
A collection of Korean medical QA benchmarks based on the Korean Medical Licensing Examination, including both text-only and multimodal subsets.
-
sean0042/KorMedMCQA
Viewer • Updated • 7.49k • 4.41k • 36 -
KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations
Paper • 2403.01469 • Published -
seongsubae/KorMedMCQA-V
Viewer • Updated • 1.84k • 185 • 8 -
KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on the Korean Medical Licensing Examination
Paper • 2602.13650 • Published