PhD student, UCLA Computer Science Department, University of California, Los Angeles
2 papers at NeurIPS 2025
We present MedMax, a large-scale multimodal biomedical instruction-tuning dataset for mixed-modal foundation models, and show that our data achieves superior performance than GPT-4o on diverse biomedical tasks.
