1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AR2024★ 1 cited
DocEDA: Automated Extraction and Design of Analog Circuits from Documents with Large Language Model
Hong Cai Chen, Longchang Wu, Ming Gao +3
Efficient and accurate extraction of electrical parameters from circuit datasheets and design documents is critical for accelerating circuit design in Electronic Design Automation…
cs.CL2024★ 1 cited
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
Jianing Wang, Junda Wu, Yupeng Hou +3
Do current large language models (LLMs) better solve graph reasoning and generation tasks with parameter updates? In this paper, we propose InstructGraph, a framework that empowers…
cs.LG2023
UPFL: Unsupervised Personalized Federated Learning towards New Clients
Tiandi Ye, Cen Chen, Yinggui Wang +2
Personalized federated learning has gained significant attention as a promising approach to address the challenge of data heterogeneity. In this paper, we address a relatively unex…