What Builds Effective In-Context Examples for Code Generation?
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Dongze, Chen, Songqiang, Cao, Jialun, Cheung, Shing-Chi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?
by: Chen, Jingyi, et al.
Published: (2025)
by: Chen, Jingyi, et al.
Published: (2025)
Can Emulating Semantic Translation Help LLMs with Code Translation? A Study Based on Pseudocode
by: Chen, Songqiang, et al.
Published: (2025)
by: Chen, Songqiang, et al.
Published: (2025)
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval
by: Wu, Jiarong, et al.
Published: (2025)
by: Wu, Jiarong, et al.
Published: (2025)
RulER: Automated Rule-Based Semantic Error Localization and Repair for Code Translation
by: Jin, Shuo, et al.
Published: (2025)
by: Jin, Shuo, et al.
Published: (2025)
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit
by: Cao, Jialun, et al.
Published: (2024)
by: Cao, Jialun, et al.
Published: (2024)
Concerned with Data Contamination? Assessing Countermeasures in Code Language Model
by: Cao, Jialun, et al.
Published: (2024)
by: Cao, Jialun, et al.
Published: (2024)
MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
by: Xu, Congying, et al.
Published: (2024)
by: Xu, Congying, et al.
Published: (2024)
Word Closure-Based Metamorphic Testing for Machine Translation
by: Xie, Xiaoyuan, et al.
Published: (2023)
by: Xie, Xiaoyuan, et al.
Published: (2023)
Multi-Agent Systems for Dataset Adaptation in Software Engineering: Capabilities, Limitations, and Future Directions
by: Chen, Jingyi, et al.
Published: (2025)
by: Chen, Jingyi, et al.
Published: (2025)
Can Large Language Models Model Programs Formally?
by: Chen, Zhiyong, et al.
Published: (2026)
by: Chen, Zhiyong, et al.
Published: (2026)
ReuseDroid: A VLM-empowered Android UI Test Migrator Boosted by Active Feedback
by: Li, Xiaolei, et al.
Published: (2025)
by: Li, Xiaolei, et al.
Published: (2025)
CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems
by: Lyu, Zongyi, et al.
Published: (2026)
by: Lyu, Zongyi, et al.
Published: (2026)
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation
by: Zhu, Qiming, et al.
Published: (2024)
by: Zhu, Qiming, et al.
Published: (2024)
Enhancing Differential Testing With LLMs For Testing Deep Learning Libraries
by: Li, Meiziniu, et al.
Published: (2024)
by: Li, Meiziniu, et al.
Published: (2024)
Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation
by: Zhu, Qiming, et al.
Published: (2025)
by: Zhu, Qiming, et al.
Published: (2025)
MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis
by: Xu, Congying, et al.
Published: (2026)
by: Xu, Congying, et al.
Published: (2026)
Automatic Build Repair for Test Cases using Incompatible Java Versions
by: Mak, Ching Hang, et al.
Published: (2024)
by: Mak, Ching Hang, et al.
Published: (2024)
Understanding and Bridging the Planner-Coder Gap: A Systematic Study on the Robustness of Multi-Agent Systems for Code Generation
by: Lyu, Zongyi, et al.
Published: (2025)
by: Lyu, Zongyi, et al.
Published: (2025)
ModelWisdom: An Integrated Toolkit for TLA+ Model Visualization, Digest and Repair
by: Chen, Zhiyong, et al.
Published: (2026)
by: Chen, Zhiyong, et al.
Published: (2026)
JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Models
by: Cao, Jialun, et al.
Published: (2024)
by: Cao, Jialun, et al.
Published: (2024)
Demystifying the Silence of Correctness Bugs in PyTorch Compiler
by: Li, Meiziniu, et al.
Published: (2026)
by: Li, Meiziniu, et al.
Published: (2026)
Enchanting Program Specification Synthesis by Large Language Models using Static Analysis and Program Verification
by: Wen, Cheng, et al.
Published: (2024)
by: Wen, Cheng, et al.
Published: (2024)
COMET: Coverage-guided Model Generation For Deep Learning Library Testing
by: Li, Meiziniu, et al.
Published: (2022)
by: Li, Meiziniu, et al.
Published: (2022)
LSPFuzz: Hunting Bugs in Language Servers
by: Zhu, Hengcheng, et al.
Published: (2025)
by: Zhu, Hengcheng, et al.
Published: (2025)
Metamorphic Testing of Image Captioning Systems via Image-Level Reduction
by: Xie, Xiaoyuan, et al.
Published: (2023)
by: Xie, Xiaoyuan, et al.
Published: (2023)
Precision in Practice: Knowledge Guided Code Summarizing Grounded in Industrial Expectations
by: Li, Jintai, et al.
Published: (2026)
by: Li, Jintai, et al.
Published: (2026)
From What to How: Bridging User Requirements with Software Development Using Large Language Models
by: He, Xiao, et al.
Published: (2026)
by: He, Xiao, et al.
Published: (2026)
FastLog: An End-to-End Method to Efficiently Generate and Insert Logging Statements
by: Xie, Xiaoyuan, et al.
Published: (2023)
by: Xie, Xiaoyuan, et al.
Published: (2023)
What to Retrieve for Effective Retrieval-Augmented Code Generation? An Empirical Study and Beyond
by: Gu, Wenchao, et al.
Published: (2025)
by: Gu, Wenchao, et al.
Published: (2025)
EmbedAgent: Benchmarking Large Language Models in Embedded System Development
by: Xu, Ruiyang, et al.
Published: (2025)
by: Xu, Ruiyang, et al.
Published: (2025)
iCoRe: An Iterative Correlation-Aware Retriever for Bug Reproduction Test Generation
by: Wang, Junyi, et al.
Published: (2026)
by: Wang, Junyi, et al.
Published: (2026)
LiveFMBench: Unveiling the Power and Limits of Agentic Workflows in Specification Generation
by: Xu, Dong, et al.
Published: (2026)
by: Xu, Dong, et al.
Published: (2026)
How Far are App Secrets from Being Stolen? A Case Study on Android
by: Wei, Lili, et al.
Published: (2025)
by: Wei, Lili, et al.
Published: (2025)
MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing
by: Chen, Gong, et al.
Published: (2025)
by: Chen, Gong, et al.
Published: (2025)
Optimization-Aware Test Generation for Deep Learning Compilers
by: Shen, Qingchao, et al.
Published: (2025)
by: Shen, Qingchao, et al.
Published: (2025)
NoCode-bench: A Benchmark for Evaluating Natural Language-Driven Feature Addition
by: Deng, Le, et al.
Published: (2025)
by: Deng, Le, et al.
Published: (2025)
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases
by: Xu, Congying, et al.
Published: (2023)
by: Xu, Congying, et al.
Published: (2023)
Subgraph-Oriented Testing for Deep Learning Libraries
by: Xie, Xiaoyuan, et al.
Published: (2024)
by: Xie, Xiaoyuan, et al.
Published: (2024)
Towards Understanding the Bugs in Solidity Compiler
by: Ma, Haoyang, et al.
Published: (2024)
by: Ma, Haoyang, et al.
Published: (2024)
Clarifying Semantics of In-Context Examples for Unit Test Generation
by: Yang, Chen, et al.
Published: (2025)
by: Yang, Chen, et al.
Published: (2025)
Similar Items
-
When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?
by: Chen, Jingyi, et al.
Published: (2025) -
Can Emulating Semantic Translation Help LLMs with Code Translation? A Study Based on Pseudocode
by: Chen, Songqiang, et al.
Published: (2025) -
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval
by: Wu, Jiarong, et al.
Published: (2025) -
RulER: Automated Rule-Based Semantic Error Localization and Repair for Code Translation
by: Jin, Shuo, et al.
Published: (2025) -
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit
by: Cao, Jialun, et al.
Published: (2024)