19 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.AI2024★ 3 cited
Harnessing Diversity for Important Data Selection in Pretraining Large Language Models
Chi Zhang, Huaping Zhong, Kuan Zhang +10
Data selection is of great significance in pre-training large language models, given the variation in quality within the large-scale available training corpora. To achieve this, re…
cs.CV2024★ 1 cited
KeyVideoLLM: Towards Large-scale Video Keyframe Selection
Hao Liang, Jiapeng Li, Tianyi Bai +7
Recently, with the rise of web videos, managing and understanding large-scale video datasets has become increasingly important. Video Large Language Models (VideoLLMs) have emerged…
cs.LG2023★ 19 cited
Transfer Learning for Bayesian Optimization: A Survey
Tianyi Bai, Yang Li, Yu Shen +3
A wide spectrum of design and decision problems, including parameter tuning, A/B testing and drug design, intrinsically are instances of black-box optimization. Bayesian optimizati…