:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yang, Runxin, Wan, Yuxuan, Li, Shuqing, Lyu, Michael R.
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Software Engineering
Accès en ligne:	https://arxiv.org/abs/2509.26161
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

EfficientUICoder: Efficient MLLM-based UI Code Generation via Input and Output Token Compression
par: Xiao, Jingyu, et autres
Publié: (2025)

Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach
par: Wan, Yuxuan, et autres
Publié: (2024)

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
par: Xiao, Jingyu, et autres
Publié: (2025)

Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping
par: Xiao, Jingyu, et autres
Publié: (2024)

Automatically Generating Web Applications from Requirements Via Multi-Agent Test-Driven Development
par: Wan, Yuxuan, et autres
Publié: (2025)

TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Framework
par: Gao, Shuzheng, et autres
Publié: (2025)

MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs
par: Wan, Yuxuan, et autres
Publié: (2024)

Test-Driven Development for Code Generation
par: Mathews, Noble Saji, et autres
Publié: (2024)

CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning
par: Lam, Man Ho, et autres
Publié: (2025)

Spec-Driven Development:From Code to Contract in the Age of AI Coding Assistants
par: Piskala, Deepak Babu
Publié: (2026)

From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level
par: Li, Jia, et autres
Publié: (2026)

FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
par: Wu, Yue, et autres
Publié: (2025)

SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval
par: Gu, Wenchao, et autres
Publié: (2025)

FastCode: Fast and Cost-Efficient Code Understanding and Reasoning
par: Li, Zhonghang, et autres
Publié: (2026)

Top Pass: Improve Code Generation by Pass@k-Maximized Code Ranking
par: Lyu, Zhi-Cun, et autres
Publié: (2024)

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context
par: Li, Yichen, et autres
Publié: (2024)

Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting
par: Ye, Tong, et autres
Publié: (2024)

3D Software Synthesis Guided by Constraint-Expressive Intermediate Representation
par: Li, Shuqing, et autres
Publié: (2025)

Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation
par: Cui, Yi
Publié: (2025)

AI-Generated Smells: An Analysis of Code and Architecture in LLM and Agent-Driven Development
par: Zhu, Yuecai, et autres
Publié: (2026)

An Empirical Study of Proactive Coding Assistants in Real-World Software Development
par: Li, Lehui, et autres
Publié: (2026)

Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach
par: Wan, Yao, et autres
Publié: (2024)

Automatic Building Code Review: A Case Study
par: Wan, Hanlong, et autres
Publié: (2025)

RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot
par: Garg, Spandan, et autres
Publié: (2023)

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using LLMs
par: Kabir, Azmain, et autres
Publié: (2024)

When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference
par: Sun, Zhensu, et autres
Publié: (2024)

Rigor, Reliability, and Reproducibility Matter: A Decade-Scale Survey of 572 Code Benchmarks
par: Cao, Jialun, et autres
Publié: (2025)

DeepCode: Open Agentic Coding
par: Li, Zongwei, et autres
Publié: (2025)

Search-Based LLMs for Code Optimization
par: Gao, Shuzheng, et autres
Publié: (2024)

RedCode: Risky Code Execution and Generation Benchmark for Code Agents
par: Guo, Chengquan, et autres
Publié: (2024)

ProxyWar: Dynamic Assessment of LLM Code Generation in Game Arenas
par: Peng, Wenjun, et autres
Publié: (2026)

EvoCodeBench: A Human-Performance Benchmark for Self-Evolving LLM-Driven Coding Systems
par: Zhang, Wentao, et autres
Publié: (2026)

Prompt Driven Development with Claude Code: Building a Complete TUI Framework for the Ring Programming Language
par: Fayed, Mahmoud Samir, et autres
Publié: (2026)

A Benchmark for Localizing Code and Non-Code Issues in Software Projects
par: Zhang, Zejun, et autres
Publié: (2025)

XRZoo: A Large-Scale and Versatile Dataset of Extended Reality (XR) Applications
par: Li, Shuqing, et autres
Publié: (2024)

Runtime Failure Hunting for Physics Engine Based Software Systems: How Far Can We Go?
par: Li, Shuqing, et autres
Publié: (2025)

FeatureBench: Benchmarking Agentic Coding for Complex Feature Development
par: Zhou, Qixing, et autres
Publié: (2026)

Goedel-Code-Prover: Hierarchical Proof Search for Open State-of-the-Art Code Verification
par: Li, Zenan, et autres
Publié: (2026)

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
par: Wan, Yao, et autres
Publié: (2023)

CodeAlignBench: Assessing Code Generation Models on Developer-Preferred Code Adjustments
par: Mehralian, Forough, et autres
Publié: (2025)