Cover Image

Enhancing High-Quality Code Generation in Large Language Models with Comparative Prefix-Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Yuan, Zhang, Yujian, Lu, Liang, Treude, Christoph, Su, Xiaohong, Huang, Shan, Wang, Tiantian
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model
by: Jiang, Yuan, et al.
Published: (2024)

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

Optimizing Large Language Model Hyperparameters for Code Generation
by: Arora, Chetan, et al.
Published: (2024)

Enhancing Source Code Representations for Deep Learning with Static Analysis
by: Guan, Xueting, et al.
Published: (2024)

The Shift from Writing to Pruning Software: A Bonsai-Inspired IDE for Reshaping AI Generated Code
by: Kula, Raula Gaikovina, et al.
Published: (2025)

Static Analysis as a Feedback Loop: Enhancing LLM-Generated Code Beyond Correctness
by: Blyth, Scott, et al.
Published: (2025)

CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
by: Lin, Hong Yi, et al.
Published: (2025)

Enhancing Neural Code Representation with Additional Context
by: Nguyen, Huy, et al.
Published: (2025)

Deterministic vs. Probabilistic Summarisation: An Empirical Trade-off Study in Design Pattern Centric Java Code
by: Nazar, Najam, et al.
Published: (2026)

Do Comments and Expertise Still Matter? An Experiment on Programmers' Adoption of AI-Generated JavaScript Code
by: Li, Changwen, et al.
Published: (2025)

Enhancing Code Review through Fuzzing and Likely Invariants
by: Charoenwet, Wachiraphan, et al.
Published: (2025)

Qualitative Data Analysis in Software Engineering: Techniques and Teaching Insights
by: Treude, Christoph
Published: (2024)

Encoding Version History Context for Better Code Representation
by: Nguyen, Huy, et al.
Published: (2024)

The Role of Code Proficiency in the Era of Generative AI
by: Robles, Gregorio, et al.
Published: (2024)

Automated Code Review Assignments: An Alternative Perspective of Code Ownership on GitHub
by: Lulla, Jai Lal, et al.
Published: (2025)

Towards the First Code Contribution: Processes and Information Needs
by: Treude, Christoph, et al.
Published: (2024)

Toward Effective Secure Code Reviews: An Empirical Study of Security-Related Coding Weaknesses
by: Charoenwet, Wachiraphan, et al.
Published: (2023)

Information-Theoretic Detection of Unusual Source Code Changes
by: Torres, Adriano, et al.
Published: (2025)

Seed&Steer: Guiding Large Language Models with Compilable Prefix and Branch Signals for Unit Test Generation
by: Zhou, Shuaiyu, et al.
Published: (2025)

Improving Automated Code Reviews: Learning from Experience
by: Lin, Hong Yi, et al.
Published: (2024)

Accountable Agents in Software Engineering: An Analysis of Terms of Service and a Research Roadmap
by: Treude, Christoph
Published: (2026)

An Empirical Study of Static Analysis Tools for Secure Code Review
by: Charoenwet, Wachiraphan, et al.
Published: (2024)

Creative and Correct: Requesting Diverse Code Solutions from AI Foundation Models
by: Blyth, Scott, et al.
Published: (2024)

DPS: Design Pattern Summarisation Using Code Features
by: Nazar, Najam, et al.
Published: (2025)

Gender Influence on Student Teams' Online Communication in Software Engineering Education
by: Garcia, Rita, et al.
Published: (2025)

Prioritising GitHub Priority Labels
by: Caddy, James, et al.
Published: (2024)

Can Large Language Models Generate Geospatial Code?
by: Hou, Shuyang, et al.
Published: (2024)

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

Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI
by: Treude, Christoph, et al.
Published: (2026)

Nigerian Software Engineer or American Data Scientist? GitHub Profile Recruitment Bias in Large Language Models
by: Nakano, Takashi, et al.
Published: (2024)

An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation
by: Li, Junjie, et al.
Published: (2024)

Comparative Analysis of the Code Generated by Popular Large Language Models (LLMs) for MISRA C++ Compliance
by: Umer, Malik Muhammad
Published: (2025)

A Preference-Driven Methodology for High-Quality Solidity Code Generation
by: Peng, Zhiyuan, et al.
Published: (2025)

Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks
by: Lu, Jiawei, et al.
Published: (2024)

Bot-Driven Development: From Simple Automation to Autonomous Software Development Bots
by: Treude, Christoph, et al.
Published: (2024)

GenAI Is No Silver Bullet for Qualitative Research in Software Engineering
by: Ernst, Neil A., et al.
Published: (2026)

Generative AI and Empirical Software Engineering: A Paradigm Shift
by: Treude, Christoph, et al.
Published: (2025)

APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation
by: Yang, Chengran, et al.
Published: (2023)

Generating High-Quality Datasets for Code Editing via Open-Source Language Models
by: Zhang, Zekai, et al.
Published: (2025)

The Future of Development Environments with AI Foundation Models: NII Shonan Meeting 222 Report
by: Hu, Xing, et al.
Published: (2025)