no code implementations • 15 Nov 2023 • Ziyin Zhang, Yikang Liu, Weifang Huang, Junyu Mao, Rui Wang, Hai Hu
Recent benchmarks for Large Language Models (LLMs) have mostly focused on application-driven tasks such as complex reasoning and code generation, and this has led to a scarcity in purely linguistic evaluation of LLMs.
no code implementations • 23 May 2023 • Junyu Mao, Stuart E. Middleton, Mahesan Niranjan
Prompt-based models have gathered a lot of attention from researchers due to their remarkable advancements in the fields of zero-shot and few-shot learning.
no code implementations • 16 Dec 2022 • Junyu Mao, Giordano Scarciotti
In this brief paper, we propose a time-domain data-driven method for model order reduction by two-sided moment matching for linear systems.