With spectral-aware consolidation and unsupervised inquiry regularization, LLaVA-1.5 can be trained task-by-task with performance matching or surpassing joint multitask training.
CoIN: A benchmark of continual instruction tuning for multimodel large language models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
LLaVA-c: Continual Improved Visual Instruction Tuning
With spectral-aware consolidation and unsupervised inquiry regularization, LLaVA-1.5 can be trained task-by-task with performance matching or surpassing joint multitask training.