:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	He, Lehan, Chen, Zeren, Zhang, Zhe, Gao, Xiang, Sheng, Lu
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.18315
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement
by: Zhang, Huan, et al.
Published: (2024)

Code2Bench: Scaling Source and Rigor for Dynamic Benchmark Construction
by: Zhang, Zhe, et al.
Published: (2025)

InfCode: Adversarial Iterative Refinement of Tests and Patches for Reliable Software Issue Resolution
by: Li, KeFan, et al.
Published: (2025)

Evolution without an Oracle: Driving Effective Evolution with LLM Judges
by: Zhao, Zhe, et al.
Published: (2025)

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
by: Zheng, Tianyu, et al.
Published: (2024)

Using a Feedback Loop for LLM-based Infrastructure as Code Generation
by: Palavalli, Mayur Amarnath, et al.
Published: (2024)

Less is More: Towards Green Code Large Language Models via Unified Structural Pruning
by: Yang, Guang, et al.
Published: (2024)

EvoCodeBench: A Human-Performance Benchmark for Self-Evolving LLM-Driven Coding Systems
by: Zhang, Wentao, et al.
Published: (2026)

Large Language Model-Driven Code Compliance Checking in Building Information Modeling
by: Madireddy, Soumya, et al.
Published: (2025)

CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models
by: Xu, Zhenyu, et al.
Published: (2025)

CodeCircuit: Toward Inferring LLM-Generated Code Correctness via Attribution Graphs
by: He, Yicheng, et al.
Published: (2026)

miniCodeProps: a Minimal Benchmark for Proving Code Properties
by: Lohn, Evan, et al.
Published: (2024)

Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach
by: Sepidband, Melika, et al.
Published: (2025)

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement
by: Zhang, Xiaoqing, et al.
Published: (2024)

Still Manual? Automated Linter Configuration via DSL-Based LLM Compilation of Coding Standards
by: Zhang, Zejun, et al.
Published: (2026)

ASMA-Tune: Unlocking LLMs' Assembly Code Comprehension via Structural-Semantic Instruction Tuning
by: Wang, Xinyi, et al.
Published: (2025)

Effective Code Membership Inference for Code Completion Models via Adversarial Prompts
by: Jiang, Yuan, et al.
Published: (2025)

Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting
by: Ye, Tong, et al.
Published: (2024)

CodeClash: Benchmarking Goal-Oriented Software Engineering
by: Yang, John, et al.
Published: (2025)

Structure-aware Fine-tuning for Code Pre-trained Models
by: Wu, Jiayi, et al.
Published: (2024)

Effective LLM-Driven Code Generation with Pythoness
by: Levin, Kyla H., et al.
Published: (2025)

Correct Code, Vulnerable Dependencies: A Large Scale Measurement Study of LLM-Specified Library Versions
by: Wang, Chengjie, et al.
Published: (2026)

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation
by: Zhao, Yicong, et al.
Published: (2025)

Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning
by: Yin, Shouyu, et al.
Published: (2026)

InfCode-C++: Intent-Guided Semantic Retrieval and AST-Structured Search for C++ Issue Resolution
by: Dong, Qingao, et al.
Published: (2025)

Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study
by: Dong, Zeming, et al.
Published: (2023)

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
by: Sun, Qiushi, et al.
Published: (2023)

AXIOM: Benchmarking LLM-as-a-Judge for Code via Rule-Based Perturbation and Multisource Quality Calibration
by: Wang, Ruiqi, et al.
Published: (2025)

ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement
by: Bhattarai, Manish, et al.
Published: (2025)

ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
by: Han, Hojae, et al.
Published: (2025)

Bias Testing and Mitigation in LLM-based Code Generation
by: Huang, Dong, et al.
Published: (2023)

Ambiguity Resolution with Human Feedback for Code Writing Tasks
by: Nandan, Aditey, et al.
Published: (2025)

TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment
by: Yuan, Zhiqiang, et al.
Published: (2024)

Enhancing LLM-Based Test Generation by Eliminating Covered Code
by: Xu, WeiZhe, et al.
Published: (2026)

DockSmith: Scaling Reliable Coding Environments via an Agentic Docker Builder
by: Zhang, Jiaran, et al.
Published: (2026)

Does Code Cleanliness Affect Coding Agents? A Controlled Minimal-Pair Study
by: Trivedi, Priyansh, et al.
Published: (2026)

Feedback Loops and Code Perturbations in LLM-based Software Engineering: A Case Study on a C-to-Rust Translation System
by: Weiss, Martin, et al.
Published: (2025)

HLSDebugger: Identification and Correction of Logic Bugs in HLS Code with LLM Solutions
by: Wang, Jing, et al.
Published: (2025)

RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance
by: Jin, Haolin, et al.
Published: (2024)

FlowMind: Execute-Summarize for Structured Workflow Generation from LLM Reasoning
by: Liu, Yihao, et al.
Published: (2026)