作者位次 #3/10ACL 2026Poster· Natural Language Processing
Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning
YiFan Zhang · Tao Yu · Feng Li · Chaoyou Fu · Yibo Hu · Kun Wang · Qingsong Wen · Zhang Zhang · Liang Wang · Rong Jin
摘要
The supervised fine-tuning (SFT) stage is crucial for multimodal large language models (MLLMs), yet a comprehensive scaling law to guide the optimal model-data configuration remains lacking. In this paper, we make an initial attempt to address this gap. First, we theoretically demonstrate that di...