Muxin Pu

Forget dataset-specific selection: a single, lightweight selector trained on one dataset can boost VLM instruction tuning performance across diverse datasets and model scales, even outperforming full data training.

Multi-level preference alignment in SignDPO significantly reduces semantic drift, outperforming traditional gloss-free models and challenging gloss-based benchmarks.