59 citations · 145 across the 33 of their papers we have counts for
9 papers · 1 filter
ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation
Zejun Wang, Jia Li, Ge Li +1
Large language models have shown good performances in generating code to meet human requirements. However, human requirements expressed in natural languages can be vague, incomplet…
Large Language Model-Aware In-Context Learning for Code Generation
Jia Li, Ge Li, Chongyang Tao +3
Large language models (LLMs) have shown impressive in-context learning (ICL) ability in code generation. LLMs take a prompt consisting of requirement-code examples and a new requir…
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization
Jia Li, Yongmin Li, Ge Li +3
Existing studies show that code summaries help developers understand and maintain source code. Unfortunately, these summaries are often missing or outdated in software projects. Co…
ZC3: Zero-Shot Cross-Language Code Clone Detection
Jia Li, Chongyang Tao, Zhi Jin +2
Developers introduce code clones to improve programming productivity. Many existing studies have achieved impressive performance in monolingual code clone detection. However, durin…
Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models
Yuqi Zhu, Jia Li, Ge Li +3
Recently, Large Language Models (LLMs) have shown impressive abilities in code generation. However, existing LLMs' decoding strategies are designed for Natural Language (NL) genera…
EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models
Zhengwei Tao, Zhi Jin, Xiaoying Bai +4
Events serve as fundamental units of occurrence within various contexts. The processing of event semantics in textual information forms the basis of numerous natural language proce…
Structured Chain-of-Thought Prompting for Code Generation
Jia Li, Ge Li, Yongmin Li +1
Large Language Models (LLMs) (e.g., ChatGPT) have shown impressive performance in code generation. LLMs take prompts as inputs, and Chain-of-Thought (CoT) prompting is the state-of…
ToolCoder: Teach Code Generation Models to use API search tools
Kechi Zhang, Huangzhao Zhang, Ge Li +3
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 of…
SkCoder: A Sketch-based Approach for Automatic Code Generation
Jia Li, Yongmin Li, Ge Li +3
Recently, deep learning techniques have shown great success in automatic code generation. Inspired by the code reuse, some researchers propose copy-based approaches that can copy t…