Cover Image

Does Few-Shot Learning Help LLM Performance in Code Synthesis?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Derek, Xie, Tong, Xia, Botao, Li, Haoyu, Bai, Yunsheng, Sun, Yizhou, Wang, Wei
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Debug: LLM-Organized Knowledge Trees for Solving RTL Assertion Failures
by: Bai, Yunsheng, et al.
Published: (2025)

Learning to Guarantee Type Correctness in Code Generation through Type-Guided Program Synthesis
by: Huang, Zhechong, et al.
Published: (2025)

Improving Code Localization with Repository Memory
by: Wang, Boshi, et al.
Published: (2025)

Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
by: Trad, Fouad, et al.
Published: (2025)

PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
by: Peng, Yun, et al.
Published: (2024)

Refactoring Programs Using Large Language Models with Few-Shot Examples
by: Shirafuji, Atsushi, et al.
Published: (2023)

CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback
by: Sun, Qiushi, et al.
Published: (2025)

Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation
by: Chen, Le, et al.
Published: (2025)

Deployability-Centric Infrastructure-as-Code Generation: Fail, Learn, Refine, and Succeed through LLM-Empowered DevOps Simulation
by: Zhang, Tianyi, et al.
Published: (2025)

Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting
by: Ye, Tong, et al.
Published: (2024)

Collaboration is all you need: LLM Assisted Safe Code Translation
by: Karanjai, Rabimba, et al.
Published: (2025)

Executing as You Generate: Hiding Execution Latency in LLM Code Generation
by: Sun, Zhensu, et al.
Published: (2026)

Issue Localization via LLM-Driven Iterative Code Graph Searching
by: Jiang, Zhonghao, et al.
Published: (2025)

Dynamic Stability of LLM-Generated Code
by: Rajput, Prateek, et al.
Published: (2025)

Verification Limits Code LLM Training
by: Gureja, Srishti, et al.
Published: (2025)

CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
by: Jiang, Hongchao, et al.
Published: (2025)

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation
by: Bhattarai, Manish, et al.
Published: (2024)

Stingy Context: 18:1 Hierarchical Code Compression for LLM Auto-Coding
by: Ostby, David Linus
Published: (2026)

Pragmatic Reasoning improves LLM Code Generation
by: Cao, Zhuchen, et al.
Published: (2025)

Effective LLM-Driven Code Generation with Pythoness
by: Levin, Kyla H., et al.
Published: (2025)

Crystal: Illuminating LLM Abilities on Language and Code
by: Tao, Tianhua, et al.
Published: (2024)

Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
by: Zheng, Dewu, et al.
Published: (2024)

ECO: Enhanced Code Optimization via Performance-Aware Prompting for Code-LLMs
by: Kim, Su-Hyeon, et al.
Published: (2025)

Guarded Repair for Harm-Aware Post-hoc Replacement of LLM Mathematical Reasoning
by: Xia, Haizhou
Published: (2026)

UA-Code-Bench: A Competitive Programming Benchmark for Evaluating LLM Code Generation in Ukrainian
by: Syromiatnikov, Mykyta, et al.
Published: (2025)

B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests
by: Chen, Mouxiang, et al.
Published: (2024)

Benchmarking LLM Code Generation for Audio Programming with Visual Dataflow Languages
by: Zhang, William, et al.
Published: (2024)

Analyzing the Performance of Large Language Models on Code Summarization
by: Haldar, Rajarshi, et al.
Published: (2024)

Rethinking Code Refinement: Learning to Judge Code Efficiency
by: Seo, Minju, et al.
Published: (2024)

LocAgent: Graph-Guided LLM Agents for Code Localization
by: Chen, Zhaoling, et al.
Published: (2025)

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
by: Zhang, Ziyao, et al.
Published: (2024)

Let the Code LLM Edit Itself When You Edit the Code
by: He, Zhenyu, et al.
Published: (2024)

AlgoVeri: An Aligned Benchmark for Verified Code Generation on Classical Algorithms
by: Zhao, Haoyu, et al.
Published: (2026)

Compositional API Recommendation for Library-Oriented Code Generation
by: Ma, Zexiong, et al.
Published: (2024)

CodeScout: An Effective Recipe for Reinforcement Learning of Code Search Agents
by: Sutawika, Lintang, et al.
Published: (2026)

Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces
by: Yu, Jiapeng, et al.
Published: (2024)

A Problem-Oriented Perspective and Anchor Verification for Code Optimization
by: Ye, Tong, et al.
Published: (2024)

On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software
by: Srinivas, Dananjay, et al.
Published: (2023)

Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution
by: Huang, Tinglin, et al.
Published: (2026)

Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus
by: Zhang, Huan, et al.
Published: (2026)