Search Results for author:
Found 1 papers, 1 papers with code
Multi-modal preference alignment remedies regression of visual instruction tuning on language model
In conclusion, we propose a distillation-based multi-modal alignment model with fine-grained annotations on a small dataset that reconciles the textual and visual performance of MLLMs, restoring and boosting language capability after visual instruction tuning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
