SenseLLM/

ReflectionSeq-GPT

	ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation



📄 Paper •
🏠 Repo •
🤖 Models •
📚 Datasets 




	


	Introduction

ReflectionCoder is a novel approach that effectively leverages reflection sequences constructed by integrating compiler feedback to improve one-off code generation performance. Please refer to our paper and repo for more details!

	Models




	

Model Checkpoint Size HumanEval (+) MBPP (+)… See the full description on the dataset page: https://huggingface.co/datasets/SenseLLM/ReflectionSeq-GPT.