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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 2026Show all

4 papers · 1 filter

cs.SE2026

EffiHolmes: Differential Profiling-Guided Repository Level Time Inefficiency Fix Localization

Haowen Yang, Yun Peng, Zishuo Ding

Large software systems often suffer from time inefficiencies that cause excessive execution time despite functional correctness. Localizing their fix locations is difficult because…

cs.SE2026

Multi-level Code Optimization via Mixture of Prompts

Yun Peng, Jun Wan, Jiakun Liu +3

Runtime efficiency is a critical factor that impacts both software quality and user satisfaction. There are many approaches proposed for code optimization to improve runtime effici…

cs.SE2026

MuMuTestUp: Mutation-based Multi-Agent Test Case Update

Dawei Tian, Jiakun Liu, Yun Peng +4

Modern software systems evolve rapidly under CI/CD practices, where tests are critical for quality. However, substantial code changes often render existing test cases obsolete, cau…

cs.LG2026

Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning

Zhanyue Qin, Jia Feng, Yibo Lyu +4

Code reasoning refers to the task of predicting the output of a program given its source code and specific inputs. It can measure the reasoning capability of large language models…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.