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Home/Authors/Pengyu Nie

Pengyu Nie

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Software Eng.×2AI×2NLP×2ML×1

Frequent co-authors

Liliana Hotsko2×
Yuntian Deng2×
Lara Khatib1×
Noble Saji Mathews1×
Meiyappan Nagappan1×
Thomas Zimmermann1×

Research Timeline

2026
Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution

Code2LoRA introduces a hypernetwork framework to efficiently inject repository-specific knowledge into code language models using LoRA adapters, supporting both static and evolving codebases.

Program-as-Weights: A Programming Paradigm for Fuzzy Functions

The paper proposes Fuzzy-Function Programming and introduces Program-as-Weights (PAW), a compact, locally-executable neural artifact for everyday programming tasks.

What Makes a Good Bug Report for an AI Agent?

This paper investigates the relationship between bug report features and repair success for automated program repair agents, finding that concrete, executable, and well-localized information is most beneficial.

Highlighted terms show continued research focus across papers

Papers

cs.SEEmpiricalRecentJul 8, 2026

What Makes a Good Bug Report for an AI Agent?

Lara Khatib, Noble Saji Mathews, Meiyappan Nagappan, Pengyu Nie +1 more

This paper investigates the relationship between bug report features and repair success for automated program repair agents, finding that concrete, executable, and well-localized information is most b…

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cs.LGcs.AIcs.CLEmpirical
Recent
Jul 2, 2026

Program-as-Weights: A Programming Paradigm for Fuzzy Functions

Wentao Zhang, Liliana Hotsko, Woojeong Kim, Pengyu Nie +2 more

The paper proposes Fuzzy-Function Programming and introduces Program-as-Weights (PAW), a compact, locally-executable neural artifact for everyday programming tasks.

View →
cs.SEcs.AIcs.CLRecentJun 4, 2026

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution

Liliana Hotsko, Yinxi Li, Yuntian Deng, Pengyu Nie

Code2LoRA introduces a hypernetwork framework to efficiently inject repository-specific knowledge into code language models using LoRA adapters, supporting both static and evolving codebases.

View →