ملف الباحث
David Uthus
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
-
LongT5: Efficient Text-To-Text Transformer for Long Sequences
2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Recent work has shown that either (1) increasing the input length or (2) increasing model size can improve the performance of Transformer-based neural models. In this paper, we present LongT5, a new model that explores …