Výsledky vyhledávání

Report

Top Pass: Improve Code Generation by Pass@k-Maximized Code Ranking

Autor: Lyu, Zhi-Cun, Li, Xin-Ye, Xie, Zheng, Li, Ming

Code generation has been greatly enhanced by the profound advancements in Large Language Models (LLMs) recently. Nevertheless, such LLM-based code generation approaches still struggle to generate error-free code in a few tries when faced with complex

Externí odkaz: http://arxiv.org/abs/2408.05715

Zobrazit plný text záznamu

Akademický článek

Complete chloroplast genome of Cerasus fengyangshanica (Rosaceae), a wild flowering cherry endemic to China

Autor: Xiao-Yan Wang, Ling-Juan Liu, Sheng-Long Liu, Li-Xin Ye, Xue-Kai He, Zhong-Shuai Sun

Publikováno v: Mitochondrial DNA. Part B. Resources, Vol 6, Iss 1, Pp 200-201 (2021)

Cerasus fengyangshanica is a wild flowering cherry endemic to Mount Fengyang, China. Here, we reported the complete chloroplast (cp) genome of C. fengyangshanica (GenBank accession number: MW160272). The cp genome was 157,964 bp long, with a large si

Externí odkaz: https://doaj.org/article/8d048b4d798e4b46a03c38e1e0cd6b17

Zobrazit plný text záznamu

Report

Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation

Autor: Li, Xin-Ye, Xue, Jiang-Tian, Xie, Zheng, Li, Ming

Code generation aims to automatically generate source code from high-level task specifications, which can significantly increase productivity of software engineering. Recently, approaches based on large language models (LLMs) have shown remarkable co

Externí odkaz: http://arxiv.org/abs/2305.10679

Zobrazit plný text záznamu