2 citations · 5 across the 4 of their papers we have counts for
4 papers
CodeS: Natural Language to Code Repository via Multi-Layer Sketch
Daoguang Zan, Ailun Yu, Wei Liu +11
The impressive performance of large language models (LLMs) on code-related tasks has shown the potential of fully automated software development. In light of this, we introduce a n…
Improving Natural Language Capability of Code Large Language Model
Wei Li, Daoguang Zan, Bei Guan +3
Code large language models (Code LLMs) have demonstrated remarkable performance in code generation. Nonetheless, most existing works focus on boosting code LLMs from the perspectiv…
Can Programming Languages Boost Each Other via Instruction Tuning?
Daoguang Zan, Ailun Yu, Bo Shen +8
When human programmers have mastered a programming language, it would be easier when they learn a new programming language. In this report, we focus on exploring whether programmin…
Prescribed Time Time-varying Output Formation Tracking for Uncertain Heterogeneous Multi-agent Systems
Binghe An, Bo Wang, Huijin Fan +2
The time-varying output formation tracking for the heterogeneous multi-agent systems (MAS) is investigated in this paper. First, a distributed observer is constructed for followers…