一作ACL 2026Findings· Findings of ACL
Accelerating LLM Fine-Tuning via Embedding Knowledge Transfer
Meishu Peng · Ziyue Zhang · Yi Zhang · Pengyang Wang · Zixuan Yuan · Denghui Zhang
摘要
Incorporating Large Language Models (LLMs) for downstream tasks has recently garnered considerable attention, where fine-tuning plays a key role in LLMs’ adaptation. These LLMs, often consisting of billions of parameters, require vast amounts of computational resources when customizing them for n...