MM1.5: Methods, Analysis and Insights from Multimodal LLM Fine-tuning

Research scientist at Apple focused on natural language processing and machine learning.

Research scientist on Apple Foundation Models whose work focuses on machine learning systems, multimodal foundation models, and AI agents.

Research scientist at Apple focused on state-of-the-art machine learning and computer vision methods.

Senior researcher at Apple working on large models, multimodal learning, and speech processing, according to his personal site.

Zhengfeng Lai is an AI/ML engineer at Apple working on generative AI and multimodal learning. He is also a PhD student at Cornell University whose interests include multimodal learning, model reasoning, and interpretability, and he has previously interned at Apple, Google, and Meta.

Research scientist at Apple working on large language models, vision-language models, and model scaling.

Researcher working on machine learning, vision and language, computer vision, diffusion, and generative AI.

Research scientist at Apple Foundation Models working on generative AI, large language models, and multimodal models.

Research scientist at Apple Foundation Models with interests in natural language processing, structured generation, controllable generation, and algorithmic efficiency.

Research scientist at Apple working on language and vision-language modeling, AI agents, and post-training.

Machine learning researcher at Apple working on large multimodal foundation models, video generation, and vision-language systems.

Research scientist at Apple focused on computer vision, multimodal learning, and robotics.

Research scientist whose public OpenReview profile lists work on multimodal representation learning, speech synthesis, and personalized voice generation.

Research scientist at Apple Foundation Models working on efficient training and multimodal language models.

AI and machine learning engineer at Apple working on multimodal foundation models; previously worked at Snap and the University of Southern California.

Research scientist at Apple specializing in post-training, reinforcement learning, and AI agents.

Researcher working on machine learning, optimization, and sequential data.

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