activity
20232026
most citedOn the Effectiveness of Large Language Models in Domain-Specific Code Generation

52 citations · 58 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2026

Balancing Latency and Accuracy of Code Completion via Local-Cloud Model Cascading

Hanzhen Lu, Lishui Fan, Jiachi Chen +3

Line-level code completion requires a critical balance between high accuracy and low latency. Existing methods suffer from a trade-off: large language models (LLMs) provide high-qu…

cs.IR2024★ 3 cited

Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning

Jiadong Feng, Wei Li, Suhuang Wu +4

Software development is a repetitive task, as developers usually reuse or get inspiration from existing implementations. Code search, which refers to the retrieval of relevant code…

cs.SE2024★ 2 cited

ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization

Chunrong Fang, Weisong Sun, Yuchen Chen +7

(Source) code summarization aims to automatically generate succinct natural language summaries for given code snippets. Such summaries play a significant role in promoting develope…

cs.SE2023★ 52 cited

On the Effectiveness of Large Language Models in Domain-Specific Code Generation

Xiaodong Gu, Meng Chen, Yalan Lin +6

Large language models (LLMs) such as ChatGPT have shown remarkable capabilities in code generation. Despite significant achievements, they rely on enormous training data to acquire…

cs.CL2023

Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance

Sheng Zhang, Hui Li, Yanlin Wang +4

Code search engine is an essential tool in software development. Many code search methods have sprung up, focusing on the overall ranking performance of code search. In this paper,…

cs.SE2023★ 1 cited

EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery

Chenyuan Zhang, Yanlin Wang, Zhao Wei +4

Issue-commit links, as a type of software traceability links, play a vital role in various software development and maintenance tasks. However, they are typically deficient, as dev…

cs.SE2023

RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring

Hao Liu, Yanlin Wang, Zhao Wei +4

Refactoring is an indispensable practice of improving the quality and maintainability of source code in software evolution. Rename refactoring is the most frequently performed refa…