Large language models (LLMs) can potentially democratize access to medical knowledge.
Ranked #1 on Multiple Choice Question Answering (MCQA) on MedMCQA (Dev Set (Acc-%) metric)
Denoising diffusion models (DDMs) have attracted attention for their exceptional generation quality and diversity.
We justify that the refined 3D geometric priors aid in the 3D-aware capability of 2D diffusion priors, which in turn provides superior guidance for the refinement of 3D geometric priors.
Recently, instruction-following audio-language models have received broad attention for audio interaction with humans.