Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Zhuo Li, Jia Li, Ge Li, Zhi Jin | Summary: Large language models (LLMs) have demonstrated an impressive ability to generate codes on competitive programming tasks. However, with limited sample numbers, LLMs still suffer from poor accuracy. Inspired by the process of human programming, we […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Zhuo Li, Jia Allen Li, Ge Li, Zhi Jin | Summary: Large language models (LLMs) have demonstrated an impressive ability to generate codes on competitive programming tasks. However, with limited sample numbers, LLMs still suffer from poor accuracy. Inspired by the process of human programming, […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Huangzhao Zhang, Ge Li, Jia Li, Zhuo Li | Summary: Automatically generating source code from natural language descriptions has been a growing field of research in recent years. However, current large-scale code generation models often encounter difficulties when selecting appropriate APIs for specific contexts. These […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Huangzhao Zhang, Ge Li, Jia Allen Li, Zhuo Li | Summary: Automatically generating source code from natural language descriptions has been a growing field of research in recent years. However, current large-scale code generation models often encounter difficulties when selecting appropriate APIs for specific contexts. […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Huangzhao Zhang, Ge Li, Jia Li, Zhuo Li | Summary: Automatically generating source code from natural language descriptions has been a growing field of research in recent years. However, current large-scale code generation models often encounter difficulties when selecting appropriate APIs for specific contexts. These […]
Kavli Affiliate: Dustin M. Schroeder | First 5 Authors: Andrew Romero-Wolf, Gregor Steinbruegge, Julie Castillo-Rogez, Corey J. Cochrane, Tom A. Nordheim | Summary: We present a feasibility study for passive sounding of Uranian icy moons using Uranian Kilometric Radio (UKR) emissions in the 100 – 900 kHz band. We provide a summary description of the […]