Modularization is Better: Effective Code Generation with Modular Prompting
Fuente:
arXiv
Saved in:
| Main Authors: | Pan, Ruwei, Zhang, Hongyu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
by: Pan, Ruwei, et al.
Published: (2025)
by: Pan, Ruwei, et al.
Published: (2025)
Toward Functional and Non-Functional Evaluation of Application-Level Code Generation
by: Pan, Ruwei, et al.
Published: (2026)
by: Pan, Ruwei, et al.
Published: (2026)
AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation
by: Zhu, Yueheng, et al.
Published: (2025)
by: Zhu, Yueheng, et al.
Published: (2025)
AgentDroid: A Multi-Agent Framework for Detecting Fraudulent Android Applications
by: Pan, Ruwei, et al.
Published: (2025)
by: Pan, Ruwei, et al.
Published: (2025)
Toward Executable Repository-Level Code Generation via Environment Alignment
by: Pan, Ruwei, et al.
Published: (2026)
by: Pan, Ruwei, et al.
Published: (2026)
On the Effectiveness of Modular Testing in EvoSuite
by: Dinella, Elizabeth
Published: (2026)
by: Dinella, Elizabeth
Published: (2026)
Persistent Cross-Attempt State Optimization for Repository-Level Code Generation
by: Pan, Ruwei, et al.
Published: (2026)
by: Pan, Ruwei, et al.
Published: (2026)
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
by: Luo, Ziyang, et al.
Published: (2024)
by: Luo, Ziyang, et al.
Published: (2024)
On the Effectiveness of Large Language Models in Domain-Specific Code Generation
by: Gu, Xiaodong, et al.
Published: (2023)
by: Gu, Xiaodong, et al.
Published: (2023)
GramTrans: A Better Code Representation Approach in Code Generation
by: Zhang, Zhao, et al.
Published: (2025)
by: Zhang, Zhao, et al.
Published: (2025)
Modular Layout Synthesis (MLS): Front-end Code via Structure Normalization and Constrained Generation
by: Liu, Chong, et al.
Published: (2025)
by: Liu, Chong, et al.
Published: (2025)
Prompt2DAG: A Modular Methodology for LLM-Based Data Enrichment Pipeline Generation
by: Alidu, Abubakari, et al.
Published: (2025)
by: Alidu, Abubakari, et al.
Published: (2025)
Modular Monolith: Is This the Trend in Software Architecture?
by: Su, Ruoyu, et al.
Published: (2024)
by: Su, Ruoyu, et al.
Published: (2024)
Fixing Large Language Models' Specification Misunderstanding for Better Code Generation
by: Tian, Zhao, et al.
Published: (2023)
by: Tian, Zhao, et al.
Published: (2023)
Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation
by: Ye, Sixiang, et al.
Published: (2025)
by: Ye, Sixiang, et al.
Published: (2025)
An Efficient VCGen-based Modular Verification of Relational Properties
by: Blatter, Lionel, et al.
Published: (2024)
by: Blatter, Lionel, et al.
Published: (2024)
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
by: AlOmar, Eman Abdullah, et al.
Published: (2025)
by: AlOmar, Eman Abdullah, et al.
Published: (2025)
LeGo-Code: Can Modular Curriculum Learning Advance Complex Code Generation? Insights from Text-to-SQL
by: Chafik, Salmane, et al.
Published: (2026)
by: Chafik, Salmane, et al.
Published: (2026)
Exploring Prompt Patterns in AI-Assisted Code Generation: Towards Faster and More Effective Developer-AI Collaboration
by: DiCuffa, Sophia, et al.
Published: (2025)
by: DiCuffa, Sophia, et al.
Published: (2025)
Prompt-based Code Completion via Multi-Retrieval Augmented Generation
by: Tan, Hanzhuo, et al.
Published: (2024)
by: Tan, Hanzhuo, et al.
Published: (2024)
CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding
by: Shi, Yuling, et al.
Published: (2026)
by: Shi, Yuling, et al.
Published: (2026)
Towards Better Correctness and Efficiency in Code Generation
by: Feng, Yunlong, et al.
Published: (2025)
by: Feng, Yunlong, et al.
Published: (2025)
SmartLLMs Scheduler: A Framework for Cost-Effective LLMs Utilization
by: Liu, Yueyue, et al.
Published: (2025)
by: Liu, Yueyue, et al.
Published: (2025)
CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs
by: He, Pengfei, et al.
Published: (2025)
by: He, Pengfei, et al.
Published: (2025)
Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
by: Ashraf, Humza, et al.
Published: (2025)
by: Ashraf, Humza, et al.
Published: (2025)
ModARO: A Modular Approach to Architecture Reconstruction of Distributed Microservice Codebases
by: Manglaras, Oscar, et al.
Published: (2026)
by: Manglaras, Oscar, et al.
Published: (2026)
Effective Code Membership Inference for Code Completion Models via Adversarial Prompts
by: Jiang, Yuan, et al.
Published: (2025)
by: Jiang, Yuan, et al.
Published: (2025)
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)
When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation
by: AKLI, Amal, et al.
Published: (2026)
by: AKLI, Amal, et al.
Published: (2026)
On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization
by: Crupi, Giuseppe, et al.
Published: (2025)
by: Crupi, Giuseppe, et al.
Published: (2025)
What Builds Effective In-Context Examples for Code Generation?
by: Li, Dongze, et al.
Published: (2025)
by: Li, Dongze, et al.
Published: (2025)
Beyond Code Generation: Assessing Code LLM Maturity with Postconditions
by: He, Fusen, et al.
Published: (2024)
by: He, Fusen, et al.
Published: (2024)
AROLA: A Modular Layered Architecture for Scaled Autonomous Racing
by: Shihata, Fam, et al.
Published: (2026)
by: Shihata, Fam, et al.
Published: (2026)
Understanding Chain-of-Thought Effectiveness in Code Generation: An Empirical and Information-Theoretic Analysis
by: Jin, Naizhu, et al.
Published: (2025)
by: Jin, Naizhu, et al.
Published: (2025)
ZjsComponent: A Pragmatic Approach to Modular, Reusable UI Fragments for Web Development
by: Manickum, Lelanthran
Published: (2025)
by: Manickum, Lelanthran
Published: (2025)
Encoding Version History Context for Better Code Representation
by: Nguyen, Huy, et al.
Published: (2024)
by: Nguyen, Huy, et al.
Published: (2024)
HumanEvo: An Evolution-aware Benchmark for More Realistic Evaluation of Repository-level Code Generation
by: Zheng, Dewu, et al.
Published: (2024)
by: Zheng, Dewu, et al.
Published: (2024)
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates
by: Sun, Zhihong, et al.
Published: (2024)
by: Sun, Zhihong, et al.
Published: (2024)
Cross-Domain Deep Code Search with Meta Learning
by: Chai, Yitian, et al.
Published: (2022)
by: Chai, Yitian, et al.
Published: (2022)
Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization
by: Midolo, Alessandro, et al.
Published: (2026)
by: Midolo, Alessandro, et al.
Published: (2026)
Similar Items
-
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
by: Pan, Ruwei, et al.
Published: (2025) -
Toward Functional and Non-Functional Evaluation of Application-Level Code Generation
by: Pan, Ruwei, et al.
Published: (2026) -
AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation
by: Zhu, Yueheng, et al.
Published: (2025) -
AgentDroid: A Multi-Agent Framework for Detecting Fraudulent Android Applications
by: Pan, Ruwei, et al.
Published: (2025) -
Toward Executable Repository-Level Code Generation via Environment Alignment
by: Pan, Ruwei, et al.
Published: (2026)