1 citations · 1 across the 5 of their papers we have counts for
5 papers
VL-RouterBench: A Benchmark for Vision-Language Model Routing
Zhehao Huang, Baijiong Lin, Jingyuan Zhang +5
Multi-model routing has evolved from an engineering technique into essential infrastructure, yet existing work lacks a systematic, reproducible benchmark for evaluating vision-lang…
Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems
Ning Lu, Qian Xie, Hao Zhang +4
Large Language Models (LLMs) are revolutionizing the AI industry with their superior capabilities. Training these models requires large-scale GPU clusters and significant computing…
Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis
Yi Hu, Hyeonjin Kim, Kai Ye +1
This paper presents a novel method for utilizing fine-tuned Large Language Models (LLMs) to minimize data requirements in load profile analysis, demonstrated through the restoratio…
A Novel Vision Transformer based Load Profile Analysis using Load Images as Inputs
Hyeonjin Kim, Yi Hu, Kai Ye +1
This paper introduces ViT4LPA, an innovative Vision Transformer (ViT) based approach for Load Profile Analysis (LPA). We transform time-series load profiles into load images. This…
BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles
Yi Hu, Kai Ye, Hyeonjin Kim +1
Inspired by the success of the Transformer model in natural language processing and computer vision, this paper introduces BERT-PIN, a Bidirectional Encoder Representations from Tr…