PERC: Plan-As-Query Example Retrieval for Underrepresented Code Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Yoo, Jaeseok, Han, Hojae, Lee, Youngwon, Kim, Jaejin, Hwang, Seung-won |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models
by: Han, Hojae, et al.
Published: (2024)
by: Han, Hojae, et al.
Published: (2024)
ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
by: Han, Hojae, et al.
Published: (2025)
by: Han, Hojae, et al.
Published: (2025)
DuET: Dual Execution for Test Output Prediction with Generated Code and Pseudocode
by: Han, Hojae, et al.
Published: (2026)
by: Han, Hojae, et al.
Published: (2026)
R$^3$-SQL: Ranking Reward and Resampling for Text-to-SQL
by: Han, Hojae, et al.
Published: (2026)
by: Han, Hojae, et al.
Published: (2026)
Chain of Grounded Objectives: Bridging Process and Goal-oriented Prompting for Code Generation
by: Yeo, Sangyeop, et al.
Published: (2025)
by: Yeo, Sangyeop, et al.
Published: (2025)
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation
by: Lee, Seonghyeon, et al.
Published: (2024)
by: Lee, Seonghyeon, et al.
Published: (2024)
Rethinking Code Refinement: Learning to Judge Code Efficiency
by: Seo, Minju, et al.
Published: (2024)
by: Seo, Minju, et al.
Published: (2024)
A Survey on Large Language Models for Code Generation
by: Jiang, Juyong, et al.
Published: (2024)
by: Jiang, Juyong, et al.
Published: (2024)
Exploring Language Model's Code Generation Ability with Auxiliary Functions
by: Lee, Seonghyeon, et al.
Published: (2024)
by: Lee, Seonghyeon, et al.
Published: (2024)
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
by: Islam, Md. Ashraful, et al.
Published: (2025)
by: Islam, Md. Ashraful, et al.
Published: (2025)
SEW: Self-Evolving Agentic Workflows for Automated Code Generation
by: Liu, Siwei, et al.
Published: (2025)
by: Liu, Siwei, et al.
Published: (2025)
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
by: Lee, Seonghyeon, et al.
Published: (2025)
by: Lee, Seonghyeon, et al.
Published: (2025)
AuPair: Golden Example Pairs for Code Repair
by: Mavalankar, Aditi, et al.
Published: (2025)
by: Mavalankar, Aditi, et al.
Published: (2025)
Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models
by: Sovrano, Francesco, et al.
Published: (2026)
by: Sovrano, Francesco, et al.
Published: (2026)
IndustryCode: A Benchmark for Industry Code Generation
by: Zeng, Puyu, et al.
Published: (2026)
by: Zeng, Puyu, et al.
Published: (2026)
Planning to Explore: Curiosity-Driven Planning for LLM Test Generation
by: Amayuelas, Alfonso, et al.
Published: (2026)
by: Amayuelas, Alfonso, et al.
Published: (2026)
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
by: Zheng, Tianyu, et al.
Published: (2024)
by: Zheng, Tianyu, et al.
Published: (2024)
CodeMirage: Hallucinations in Code Generated by Large Language Models
by: Agarwal, Vibhor, et al.
Published: (2024)
by: Agarwal, Vibhor, et al.
Published: (2024)
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
by: Zhuo, Terry Yue, et al.
Published: (2024)
by: Zhuo, Terry Yue, et al.
Published: (2024)
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models
by: Zheng, Jiasheng, et al.
Published: (2024)
by: Zheng, Jiasheng, et al.
Published: (2024)
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
by: Chen, Simin, et al.
Published: (2024)
by: Chen, Simin, et al.
Published: (2024)
MutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use
by: Khan, Zaid, et al.
Published: (2025)
by: Khan, Zaid, et al.
Published: (2025)
MERA Code: A Unified Framework for Evaluating Code Generation Across Tasks
by: Chervyakov, Artem, et al.
Published: (2025)
by: Chervyakov, Artem, et al.
Published: (2025)
CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
by: Jiang, Xue, et al.
Published: (2025)
by: Jiang, Xue, et al.
Published: (2025)
Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code Generation Capabilities
by: Wang, Hanbin, et al.
Published: (2025)
by: Wang, Hanbin, et al.
Published: (2025)
CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
by: Jiang, Hongchao, et al.
Published: (2025)
by: Jiang, Hongchao, et al.
Published: (2025)
Semantically Aligned Question and Code Generation for Automated Insight Generation
by: Singha, Ananya, et al.
Published: (2024)
by: Singha, Ananya, et al.
Published: (2024)
Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
by: Zheng, Dewu, et al.
Published: (2024)
by: Zheng, Dewu, et al.
Published: (2024)
Magicoder: Empowering Code Generation with OSS-Instruct
by: Wei, Yuxiang, et al.
Published: (2023)
by: Wei, Yuxiang, et al.
Published: (2023)
Pragmatic Reasoning improves LLM Code Generation
by: Cao, Zhuchen, et al.
Published: (2025)
by: Cao, Zhuchen, et al.
Published: (2025)
Multilingual Multimodal Software Developer for Code Generation
by: Chai, Linzheng, et al.
Published: (2025)
by: Chai, Linzheng, et al.
Published: (2025)
UA-Code-Bench: A Competitive Programming Benchmark for Evaluating LLM Code Generation in Ukrainian
by: Syromiatnikov, Mykyta, et al.
Published: (2025)
by: Syromiatnikov, Mykyta, et al.
Published: (2025)
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution
by: Zhuo, Terry Yue, et al.
Published: (2025)
by: Zhuo, Terry Yue, et al.
Published: (2025)
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation
by: Yan, Weixiang, et al.
Published: (2023)
by: Yan, Weixiang, et al.
Published: (2023)
LLMs for Science: Usage for Code Generation and Data Analysis
by: Nejjar, Mohamed, et al.
Published: (2023)
by: Nejjar, Mohamed, et al.
Published: (2023)
Compositional API Recommendation for Library-Oriented Code Generation
by: Ma, Zexiong, et al.
Published: (2024)
by: Ma, Zexiong, et al.
Published: (2024)
DocCGen: Document-based Controlled Code Generation
by: Pimparkhede, Sameer, et al.
Published: (2024)
by: Pimparkhede, Sameer, et al.
Published: (2024)
Evaluating Retrieval-Augmented Generation Variants for Natural Language-Based SQL and API Call Generation
by: Marketsmüller, Michael, et al.
Published: (2026)
by: Marketsmüller, Michael, et al.
Published: (2026)
DevEval: Evaluating Code Generation in Practical Software Projects
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
Similar Items
-
ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models
by: Han, Hojae, et al.
Published: (2024) -
ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
by: Han, Hojae, et al.
Published: (2025) -
DuET: Dual Execution for Test Output Prediction with Generated Code and Pseudocode
by: Han, Hojae, et al.
Published: (2026) -
R$^3$-SQL: Ranking Reward and Resampling for Text-to-SQL
by: Han, Hojae, et al.
Published: (2026) -
Chain of Grounded Objectives: Bridging Process and Goal-oriented Prompting for Code Generation
by: Yeo, Sangyeop, et al.
Published: (2025)