2 papers
cs.CL2024
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
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…