CodeEval
Emerging20papers using it
2023first seen
Papers using CodeEval (20)
- What to Retrieve for Effective Retrieval-Augmented Code Generation? An
Empirical Study and BeyondAn Iterative Test-and-Repair Framework for Competitive Code GenerationCollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code GenerationHELO-APR: Enhancing Low-Resource Program Repair through Cross-Lingual Knowledge TransferCodeMEM: AST-Guided Adaptive Memory for Repository-Level Iterative Code GenerationCodeEval: A pedagogical approach for targeted evaluation of code-trained Large Language ModelsCollaborative Agents for Automated Program Repair in RubyMapCoder-Lite: Distilling Multi-Agent Coding into a Single Small LLMIntegrating Rules and Semantics for LLM-Based C-to-Rust TranslationFeedbackEval: A Benchmark for Evaluating Large Language Models in Feedback-Driven Code Repair TasksA Preliminary Study on the Robustness of Code Generation by Large Language ModelsUnlocking LLM Repair Capabilities Through Cross-Language Translation and Multi-Agent RefinementCan Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'MapCoder: Multi-Agent Code Generation for Competitive Problem SolvingPanGu-Coder2: Boosting Large Language Models for Code with Ranking
FeedbackxCodeEval: A Large Scale Multilingual Multitask Benchmark for Code
Understanding, Generation, Translation and RetrievalChain of Targeted Verification Questions to Improve the Reliability of
Code Generated by LLMsCoderEval: A Benchmark of Pragmatic Code Generation with Generative
Pre-trained ModelsDivide-and-Conquer Meets Consensus: Unleashing the Power of Functions in
Code GenerationStrategic Optimization and Challenges of Large Language Models in
Object-Oriented Programming