:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Kechi, Li, Ge, Li, Jia, Zhang, Huangzhao, Xu, Jingjing, Zhu, Hao, Wang, Lecheng, Dong, Yihong, Mai, Jing, Gu, Bin, Jin, Zhi
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2506.02658
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

StackTrans: From Large Language Model to Large Pushdown Automata Model
by: Zhang, Kechi, et al.
Published: (2025)

HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position
by: Zhang, Kechi, et al.
Published: (2024)

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points
by: Zhang, Kechi, et al.
Published: (2025)

SEAlign: Alignment Training for Software Engineering Agent
by: Zhang, Kechi, et al.
Published: (2025)

A Viable Paradigm of Software Automation: Iterative End-to-End Automated Software Development
by: Li, Jia, et al.
Published: (2025)

GraphCodeAgent: Dual Graph-Guided LLM Agent for Retrieval-Augmented Repo-Level Code Generation
by: Li, Jia, et al.
Published: (2025)

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code
by: Zhang, Kechi, et al.
Published: (2024)

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
by: Zhang, Kechi, et al.
Published: (2024)

Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy
by: Dong, Yihong, et al.
Published: (2026)

aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion
by: Li, Jia, et al.
Published: (2025)

Large Language Model Unlearning for Source Code
by: Jiang, Xue, et al.
Published: (2025)

Self-planning Code Generation with Large Language Models
by: Jiang, Xue, et al.
Published: (2023)

Generating Equivalent Representations of Code By A Self-Reflection Approach
by: Li, Jia, et al.
Published: (2024)

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding
by: Li, Jia, et al.
Published: (2025)

RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices
by: Li, Jia, et al.
Published: (2026)

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)

VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications
by: Zhu, Hao, et al.
Published: (2025)

Line-level Semantic Structure Learning for Code Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2024)

KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development?
by: Jiang, Xue, et al.
Published: (2026)

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs
by: Zhu, Yuqi, et al.
Published: (2025)

A Survey on Code Generation with LLM-based Agents
by: Dong, Yihong, et al.
Published: (2025)

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
by: Dong, Yihong, et al.
Published: (2023)

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
by: Jiang, Siyuan, et al.
Published: (2024)

Self-collaboration Code Generation via ChatGPT
by: Dong, Yihong, et al.
Published: (2023)

VulAgent: Hypothesis-Validation based Multi-Agent Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2025)

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation
by: Jiang, Xue, et al.
Published: (2024)

Think Anywhere in Code Generation
by: Jiang, Xue, et al.
Published: (2026)

DevEval: Evaluating Code Generation in Practical Software Projects
by: Li, Jia, et al.
Published: (2024)

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
by: Dong, Yihong, et al.
Published: (2024)

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
by: Li, Jia, et al.
Published: (2024)

AdapTrack: Constrained Decoding without Distorting LLM's Output Intent
by: Li, Yongmin, et al.
Published: (2025)

Exploring Data-Efficient Adaptation of Large Language Models for Code Generation
by: Jiang, Xue, et al.
Published: (2024)

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)

WELL: Applying bug detectors to bug localization via weakly supervised learning
by: Huangzhao Zhang, et al.
Published: (2024)

CodeScore: Evaluating Code Generation by Learning Code Execution
by: Dong, Yihong, et al.
Published: (2023)

Evaluating Large Language Models for Time Series Anomaly Detection in Aerospace Software
by: Liu, Yang, et al.
Published: (2026)

Showing LLM-Generated Code Selectively Based on Confidence of LLMs
by: Li, Jia, et al.
Published: (2024)

M2CVD: Enhancing Vulnerability Semantic through Multi-Model Collaboration for Code Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2024)

Beyond Autoregression: An Empirical Study of Diffusion Large Language Models for Code Generation
by: Li, Chengze, et al.
Published: (2025)

Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation
by: Sun, Zhihong, et al.
Published: (2025)