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Zhijie Cai

2 accepted papers

2026

AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments

ICML 2026poster

Fine-tuning LLMs is necessary for various dedicated downstream tasks, but classic backpropagation-based fine-tuning methods require substantial GPU memory. To this end, a recent work, MeZO, which relies solely on forward passes to fine-tune LLMs, significantly reduces GPU requirements at the cost of…

Cited by 0SourceScholar
2026

Think in Cloud, Look at Edges: Semantic-Driven Query Decomposition for Efficient Video Reasoning

ICML 2026spotlight

Long video understanding faces a critical dilemma: cloud-based Large Multimodal Models (LMMs) offer superior reasoning but suffer from prohibitive bandwidth costs and latency, while edge-based solutions sacrifice perception accuracy for speed. Current collaborative approaches attempt to bridge this …

Cited by 0SourceScholar