Research Collector Dataset是一个通过Research-Collector工具从多个来源聚合的研究成果数据集,专注于大型语言模型(LLM)或语言模型的研究,时间范围为2026年4月12日至2026年4月26日。数据集包含39个条目,每个条目都附有丰富的元数据,包括机器学习子领域分类、质量评分和时间特征。数据来源包括学术平台(如PubMed、arXiv、Semantic Sc
Research data management (RDM) has become an important discipline that enables researchers to effectively organise, preserve and share their research results. RDM is a new...
Supplementary material for the paper “Beyond Coverage: Automatic Test Suite Augmentation for Enhanced Effectiveness Using Large Language Models”. To reproduce our experiments, please refer to readme.m