Note 任务：Generating semantically and temporally aligned audio content in accordance with video input 方法：focusing on three crucial aspects: vision encoders, auxiliary embeddings, and data augmentation techniques. propose VTA-LDM (video to audio latent diffusion model?) simple yet surprisingly effective

Note MJ-Bench is the first benchmark that incorporates a comprehensive preference dataset to evaluate multimodal judges in providing feedback for image generation models across four key perspectives: alignment, safety, image quality, and bias.

Note a model family designed to enhance natural voice interactions between humans and large language models (LLMs)