Cover Image

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Yalan, Ma, Yingwei, Cao, Rongyu, Li, Binhua, Huang, Fei, Gu, Xiaodong, Li, Yongbin
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?
by: Pan, Zhenyu, et al.
Published: (2024)

Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration
by: Ma, Yingwei, et al.
Published: (2024)

Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute
by: Ma, Yingwei, et al.
Published: (2025)

Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement
by: Ma, Yingwei, et al.
Published: (2024)

Do Code LLMs Understand Design Patterns?
by: Pan, Zhenyu, et al.
Published: (2025)

CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
by: Jiang, Xue, et al.
Published: (2025)

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

Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning
by: Jiang, Yuze, et al.
Published: (2024)

Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model
by: Dong, Yihong, et al.
Published: (2025)

Neuron-Guided Interpretation of Code LLMs: Where, Why, and How?
by: Yin, Zhe, et al.
Published: (2025)

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

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs
by: Xie, Chen, et al.
Published: (2025)

A Benchmark for Localizing Code and Non-Code Issues in Software Projects
by: Zhang, Zejun, et al.
Published: (2025)

To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code Editing
by: Cheng, Wei, et al.
Published: (2026)

InspectCoder: Dynamic Analysis-Enabled Self Repair through interactive LLM-Debugger Collaboration
by: Wang, Yunkun, et al.
Published: (2025)

ExploraCoder: Advancing code generation for multiple unseen APIs via planning and chained exploration
by: Wang, Yunkun, et al.
Published: (2024)

From I/O to Code with Discovery Agent
by: Dong, Yihong, et al.
Published: (2026)

Are LLMs Correctly Integrated into Software Systems?
by: Shao, Yuchen, et al.
Published: (2024)

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

Scaling Coding Agents via Atomic Skills
by: Ma, Yingwei, et al.
Published: (2026)

ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction?
by: Nam, Doha, et al.
Published: (2025)

Empowering RepoQA-Agent based on Reinforcement Learning Driven by Monte-carlo Tree Search
by: Li, Guochang, et al.
Published: (2025)

$\mathbb{USCD}$: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding
by: Wang, Shuai, et al.
Published: (2024)

Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
by: Wang, Xin, et al.
Published: (2025)

On the Effectiveness of Large Language Models in Domain-Specific Code Generation
by: Gu, Xiaodong, et al.
Published: (2023)

An Empirical Study of Proactive Coding Assistants in Real-World Software Development
by: Li, Lehui, et al.
Published: (2026)

Using LLMs in Generating Design Rationale for Software Architecture Decisions
by: Zhou, Xiyu, et al.
Published: (2025)

In Line with Context: Repository-Level Code Generation via Context Inlining
by: Hu, Chao, et al.
Published: (2026)

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code
by: He, Kaifeng, et al.
Published: (2026)

Top Pass: Improve Code Generation by Pass@k-Maximized Code Ranking
by: Lyu, Zhi-Cun, et al.
Published: (2024)

SweRank+: Multilingual, Multi-Turn Code Ranking for Software Issue Localization
by: Reddy, Revanth Gangi, et al.
Published: (2025)

ArchAgent: Scalable Legacy Software Architecture Recovery with LLMs
by: Pan, Rusheng, et al.
Published: (2026)

LLMs in Coding and their Impact on the Commercial Software Engineering Landscape
by: Belozerov, Vladislav, et al.
Published: (2025)

Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs
by: Ngassom, Sylvain Kouemo, et al.
Published: (2024)

Software Defect Prediction using Autoencoder Transformer Model
by: Barma, Seshu, et al.
Published: (2025)

Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
by: Chen, Zhi, et al.
Published: (2026)

Agentic Harness for Real-World Compilers
by: Zheng, Yingwei, et al.
Published: (2026)

Towards Comprehensive Benchmarking Infrastructure for LLMs In Software Engineering
by: Rodriguez-Cardenas, Daniel, et al.
Published: (2026)

In-Context Code-Text Learning for Bimodal Software Engineering
by: Tang, Xunzhu, et al.
Published: (2024)

Function-to-Style Guidance of LLMs for Code Translation
by: Zhang, Longhui, et al.
Published: (2025)