4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.SE2023★ 2 cited
Private-Library-Oriented Code Generation with Large Language Models
Daoguang Zan, Bei Chen, Yongshun Gong +6
Large language models (LLMs), such as Codex and GPT-4, have recently showcased their remarkable code generation abilities, facilitating a significant boost in coding efficiency. Th…
cs.IR2023
Hierarchical and Contrastive Representation Learning for Knowledge-aware Recommendation
Bingchao Wu, Yangyuxuan Kang, Daoguang Zan +2
Incorporating knowledge graph into recommendation is an effective way to alleviate data sparsity. Most existing knowledge-aware methods usually perform recursive embedding propagat…
cs.SE2022★ 4 cited
Large Language Models Meet NL2Code: A Survey
Daoguang Zan, Bei Chen, Fengji Zhang +5
The task of generating code from a natural language description, or NL2Code, is considered a pressing and significant challenge in code intelligence. Thanks to the rapid developmen…