activity
20232026
most citedAutomatic Code Summarization via ChatGPT: How Far Are We?

34 citations · 40 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Understanding before Naming! Enhancing LLM-based Method Name Prediction with Code Summarization

Wei Liu, Weisong Sun, Tingting Xu +4

Method names are critical to software quality, affecting code comprehensibility, maintainability, and developer collaboration. However, manually designing meaningful method names i…

cs.LG2024★ 1 cited

Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders

Tingxu Han, Weisong Sun, Ziqi Ding +5

Self-supervised learning (SSL) is increasingly attractive for pre-training encoders without requiring labeled data. Downstream tasks built on top of those pre-trained encoders can…

cs.LG2024★ 1 cited

Can Distillation Mitigate Backdoor Attacks in Pre-trained Encoders?

TIngxu Han, Wei Song, Weisong Sun +7

Self-Supervised Learning (SSL) has become a prominent paradigm for pre-training encoders to learning general-purpose representations from unlabeled data and releasing them on third…

cs.SE2023★ 4 cited

A Prompt Learning Framework for Source Code Summarization

Tingting Xu, Yun Miao, Chunrong Fang +8

(Source) code summarization is the task of automatically generating natural language summaries (also called comments) for given code snippets. Recently, with the successful applica…

cs.SE2023★ 34 cited

Automatic Code Summarization via ChatGPT: How Far Are We?

Weisong Sun, Chunrong Fang, Yudu You +10

To support software developers in understanding and maintaining programs, various automatic code summarization techniques have been proposed to generate a concise natural language…