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Yun Peng

18 papers hereh-index 12646 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author10

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.SE14
  • cs.CL1
  • cs.CV1
  • cs.LG1
  • cs.LO1
same name
  • Yun Peng — 10 papers, h 3
  • Yun Peng — 6 papers, h 2
  • Yun Peng — 3 papers, h 4
  • Yun Peng — 3 papers, h 2
  • Yun Peng — 3 papers, h 3
  • Yun Peng — 2 papers, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedNo More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence

148 citations · 231 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.SE2023

Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem

Yun Peng, Ruida Hu, Ruoke Wang +3

Python is widely used in the open-source community, largely owing to the extensive support from diverse third-party libraries within the PyPI ecosystem. Nevertheless, the utilizati…

cs.SE2023

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes

Chaozheng Wang, Zongjie Li, Yun Peng +5

Software plays a crucial role in our daily lives, and therefore the quality and security of software systems have become increasingly important. However, vulnerabilities in softwar…

cs.SE2023

Generative Type Inference for Python

Yun Peng, Chaozheng Wang, Wenxuan Wang +2

Python is a popular dynamic programming language, evidenced by its ranking as the second most commonly used language on GitHub. However, its dynamic type system can lead to potenti…

cs.SE2023★ 4 cited

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors

Yun Peng, Shuzheng Gao, Cuiyun Gao +2

Although the dynamic type system of Python facilitates the developers in writing Python programs, it also brings type errors at run-time. There exist rule-based approaches for auto…

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