2025
On Domain-Adaptive Post-Training for Multimodal Large Language Models
EMNLP 2025
Adapting general multimodal large language models (MLLMs) to specific domains, such as scientific and industrial fields, is highly significant in promoting their practical applications. This paper systematically investigates domain adaptation of MLLMs via post-training, focusing on data synthesis, t