2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 2 cited
A Mathematical Theory for Learning Semantic Languages by Abstract Learners
Kuo-Yu Liao, Cheng-Shang Chang, Y. -W. Peter Hong
Recent advances in Large Language Models (LLMs) have demonstrated the emergence of capabilities (learned skills) when the number of system parameters and the size of training data…
cs.IT2024★ 1 cited
Convolutional Coded Poisson Receivers
Cheng-En Lee, Kuo-Yu Liao, Hsiao-Wen Yu +3
In this paper, we present a framework for convolutional coded Poisson receivers (CCPRs) that incorporates spatially coupled methods into the architecture of coded Poisson receivers…