表2比较了BERT压缩方法的有效性。注意一些方法只专注于压缩模型的一部分。有的将BERTBASE作为teacher,有的将BERTLARGE模型作为teacher。对于一致性,所有模型大小和加速效果报告压缩后的最终完整的模型与BERTBASE比较,即使最初是应用于BERTLARGE方法。使用BERTLARGE为teacher进行训练比其他方法有优势。我们也基于他们在不同的...
Finding preferences expressed in natural language is an important but challenging task. State-of-the-art(SotA) methods leverage transformer-based models such as BERT, RoBERTa, etc. and graph neural architectures such as graph attention networks. Since Large Language Models (LLMs) are equipped to d...
这周讨论的论文金融/会计的学者魔(微)改(调)经典BERT模型得到的金融强化版FinBERT(图7):Huang, Allen H., Hui Wang, and Yi Yang. 2023. FinBERT: A large language model for extracting information from financial text. Contemporary Accounting Research, 40(2): 806-841. 期待继续和同学们一起学习探索...