21 citations · 21 across the 3 of their papers we have counts for
3 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.CL2022
A Benchmark for Understanding and Generating Dialogue between Characters in Stories
Jianzhu Yao, Ziqi Liu, Jian Guan +1
Many classical fairy tales, fiction, and screenplays leverage dialogue to advance story plots and establish characters. We present the first study to explore whether machines can u…
cs.CL2022★ 21 cited
EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training
Yuxian Gu, Jiaxin Wen, Hao Sun +8
Large-scale pre-training has shown remarkable performance in building open-domain dialogue systems. However, previous works mainly focus on showing and evaluating the conversationa…