2024
Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization
ECCV 2024oral
"Multimodal Large Language Models (MLLMs) excel in generating responses based on visual inputs. However, they often suffer from a bias towards generating responses similar to their pretraining corpus, overshadowing the importance of visual information. We treat this bias as a “preference” for pretra…