2 papers
cs.CV2026
Beyond Single-Sample: Reliable Multi-Sample Distillation for Video Understanding
Songlin Li, Xin Zhu, Zechao Guan +2
Traditional black-box distillation for Large Vision-Language Models (LVLMs) typically relies on a single teacher response per input, which often yields high-variance responses and…
cs.AI2025
Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
Zhenghao Liu, Xingsheng Zhu, Tianshuo Zhou +5
With the rapid advancement of Multi-modal Large Language Models (MLLMs), their capability in understanding both images and text has greatly improved. However, their potential for l…