Understanding Defects in Generated Codes by Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Esfahani, Ali Mohammadi, Kahani, Nafiseh, Ajila, Samuel A. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prompt Optimization for LLM Code Generation via Reinforcement Learning
by: Esfahani, Ali Mohammadi, et al.
Published: (2026)
by: Esfahani, Ali Mohammadi, et al.
Published: (2026)
Code Linting using Language Models
by: Holden, Darren, et al.
Published: (2024)
by: Holden, Darren, et al.
Published: (2024)
Knowledge Lever Risk Management for Software Engineering: A Stochastic Framework for Mitigating Knowledge Loss
by: Chua, Mark, et al.
Published: (2026)
by: Chua, Mark, et al.
Published: (2026)
Testing Agentic Workflows with Structural Coverage Criteria
by: Kahani, Nafiseh, et al.
Published: (2026)
by: Kahani, Nafiseh, 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)
by: Nam, Doha, et al.
Published: (2025)
Automated Test Case Repair Using Language Models
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2024)
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2024)
CodeFlowLM: Incremental Just-In-Time Defect Prediction with Pretrained Language Models and Exploratory Insights into Defect Localization
by: Monteiro, Monique Louise, et al.
Published: (2025)
by: Monteiro, Monique Louise, et al.
Published: (2025)
Predicting the Understandability of Computational Notebooks through Code Metrics Analysis
by: Ghahfarokhi, Mojtaba Mostafavi, et al.
Published: (2024)
by: Ghahfarokhi, Mojtaba Mostafavi, et al.
Published: (2024)
An Empirical Study on Capability of Large Language Models in Understanding Code Semantics
by: Nguyen, Thu-Trang, et al.
Published: (2024)
by: Nguyen, Thu-Trang, et al.
Published: (2024)
Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis
by: Akli, Amal, et al.
Published: (2026)
by: Akli, Amal, et al.
Published: (2026)
Are Large Language Models Robust in Understanding Code Against Semantics-Preserving Mutations?
by: Orvalho, Pedro, et al.
Published: (2025)
by: Orvalho, Pedro, et al.
Published: (2025)
CodeSSM: Towards State Space Models for Code Understanding
by: Verma, Shweta, et al.
Published: (2025)
by: Verma, Shweta, et al.
Published: (2025)
Task Abstention for Large Language Models in Code Generation
by: Zhou, Yanke, et al.
Published: (2026)
by: Zhou, Yanke, et al.
Published: (2026)
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
by: Hou, Shuyang, et al.
Published: (2024)
by: Hou, Shuyang, et al.
Published: (2024)
Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2021)
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2021)
Personality-Guided Code Generation Using Large Language Models
by: Guo, Yaoqi, et al.
Published: (2024)
by: Guo, Yaoqi, et al.
Published: (2024)
Bugs in Large Language Models Generated Code: An Empirical Study
by: Tambon, Florian, et al.
Published: (2024)
by: Tambon, Florian, et al.
Published: (2024)
Large Language Model Guided Self-Debugging Code Generation
by: Adnan, Muntasir, et al.
Published: (2025)
by: Adnan, Muntasir, et al.
Published: (2025)
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
by: He, Mengliang, et al.
Published: (2025)
by: He, Mengliang, et al.
Published: (2025)
CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models
by: Padwal, Vedant
Published: (2026)
by: Padwal, Vedant
Published: (2026)
Model-Driven Quantum Code Generation Using Large Language Models and Retrieval-Augmented Generation
by: Siavash, Nazanin, et al.
Published: (2025)
by: Siavash, Nazanin, et al.
Published: (2025)
CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
by: Xiong, Zhanhang, et al.
Published: (2025)
by: Xiong, Zhanhang, et al.
Published: (2025)
Large Language Models in Code Co-generation for Safe Autonomous Vehicles
by: Nouri, Ali, et al.
Published: (2025)
by: Nouri, Ali, et al.
Published: (2025)
Testing the Effect of Code Documentation on Large Language Model Code Understanding
by: Macke, William, et al.
Published: (2024)
by: Macke, William, et al.
Published: (2024)
Combining Large Language Models with Static Analyzers for Code Review Generation
by: Jaoua, Imen, et al.
Published: (2025)
by: Jaoua, Imen, et al.
Published: (2025)
A Comparative Analysis of Large Language Models for Code Documentation Generation
by: Dvivedi, Shubhang Shekhar, et al.
Published: (2023)
by: Dvivedi, Shubhang Shekhar, et al.
Published: (2023)
CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation
by: Gui, Ningxin, et al.
Published: (2025)
by: Gui, Ningxin, et al.
Published: (2025)
Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests
by: Deljouyi, Amirhossein, et al.
Published: (2024)
by: Deljouyi, Amirhossein, et al.
Published: (2024)
GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understanding
by: Dong, Zeming, et al.
Published: (2024)
by: Dong, Zeming, et al.
Published: (2024)
Asm2SrcEval: Evaluating Large Language Models for Assembly-to-Source Code Translation
by: Hamedi, Parisa, et al.
Published: (2025)
by: Hamedi, Parisa, et al.
Published: (2025)
Looking into Black Box Code Language Models
by: Haider, Muhammad Umair, et al.
Published: (2024)
by: Haider, Muhammad Umair, et al.
Published: (2024)
TaskEval: Assessing Difficulty of Code Generation Tasks for Large Language Models
by: Tambon, Florian, et al.
Published: (2024)
by: Tambon, Florian, et al.
Published: (2024)
Insights from Benchmarking Frontier Language Models on Web App Code Generation
by: Cui, Yi
Published: (2024)
by: Cui, Yi
Published: (2024)
SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation
by: He, Yibo, et al.
Published: (2025)
by: He, Yibo, et al.
Published: (2025)
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
by: Jiang, Nan, et al.
Published: (2023)
by: Jiang, Nan, et al.
Published: (2023)
Beyond Autoregression: An Empirical Study of Diffusion Large Language Models for Code Generation
by: Li, Chengze, et al.
Published: (2025)
by: Li, Chengze, et al.
Published: (2025)
Towards Advancing Code Generation with Large Language Models: A Research Roadmap
by: Jin, Haolin, et al.
Published: (2025)
by: Jin, Haolin, et al.
Published: (2025)
Mechanistic Understanding of Language Models in Syntactic Code Completion
by: Miller, Samuel, et al.
Published: (2025)
by: Miller, Samuel, et al.
Published: (2025)
CodeFort: Robust Training for Code Generation Models
by: Zhang, Yuhao, et al.
Published: (2024)
by: Zhang, Yuhao, et al.
Published: (2024)
Code Red! On the Harmfulness of Applying Off-the-shelf Large Language Models to Programming Tasks
by: Al-Kaswan, Ali, et al.
Published: (2025)
by: Al-Kaswan, Ali, et al.
Published: (2025)
Similar Items
-
Prompt Optimization for LLM Code Generation via Reinforcement Learning
by: Esfahani, Ali Mohammadi, et al.
Published: (2026) -
Code Linting using Language Models
by: Holden, Darren, et al.
Published: (2024) -
Knowledge Lever Risk Management for Software Engineering: A Stochastic Framework for Mitigating Knowledge Loss
by: Chua, Mark, et al.
Published: (2026) -
Testing Agentic Workflows with Structural Coverage Criteria
by: Kahani, Nafiseh, 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)