activity
20242026
collaborators

8 papers

cs.SE2026

TeleGen: Improving LLM-Based Web Application Generation via Runtime Telemetry

Yujia Luo, Haonan Zhang, Jiasi Shen +2

Large language models can generate runnable web applications from natural-language requirements, but many generated applications still fail interactive tasks. Existing generate-exe…

cs.SE2026

SWE-NFI: Studying and Benchmarking Coding Agents for Non-Functional Improvements

Pengyu Xue, He Yang Yuan, Xin Wang +6

Although coding agents have achieved impressive performance on correctness-oriented benchmarks, their ability to make behavior-preserving non-functional improvements (NFIs) remains…

cs.SE2025

A Mathematics-Guided Approach to Floating-Point Error Detection

Youshuai Tan, Zhanwei Zhang, Zishuo Ding +3

Floating-point program errors can lead to severe consequences, particularly in critical domains such as military applications. Only a small subset of inputs may induce substantial…

cs.SE2025

OFP-Repair: Repairing Floating-point Errors via Original-Precision Arithmetic

Youshuai Tan, Zishuo Ding, Jinfu Chen +1

Errors in floating-point programs can lead to severe consequences, particularly in critical domains such as military, aerospace, and financial systems, making their repair a crucia…

cs.SE2025

Computing Floating-Point Errors by Injecting Perturbations

Youshuai Tan, Zhanwei Zhang, Jinfu Chen +3

Floating-point programs form the foundation of modern science and engineering, providing the essential computational framework for a wide range of applications, such as safety-crit…

cs.SE2025

A Multi-Language Perspective on the Robustness of LLM Code Generation

Fazle Rabbi, Zishuo Ding, Jinqiu Yang

Large language models have gained significant traction and popularity in recent times, extending their usage to code-generation tasks. While this field has garnered considerable at…

cs.SE2025

DELA: A Novel Approach for Detecting Errors Induced by Large Atomic Condition Numbers

Youshuai Tan, Zhanwei Zhang, Jinfu Chen +3

Numerical programs form the foundation of modern science and engineering, providing essential solutions to complex mathematical problems. Therefore, errors in numerical results wou…

cs.DB2024

Automatic String Data Validation with Pattern Discovery

Xinwei Lin, Jing Zhao, Peng Di +7

In enterprise data pipelines, data insertions occur periodically and may impact downstream services if data quality issues are not addressed. Typically, such problems can be invest…