281 citations · 654 across the 17 of their papers we have counts for
3 papers · 1 filter
Towards a Unified View of Parameter-Efficient Transfer Learning
Junxian He, Chunting Zhou, Xuezhe Ma +2
Fine-tuning large pre-trained language models on downstream tasks has become the de-facto learning paradigm in NLP. However, conventional approaches fine-tune all the parameters of…
Efficient Nearest Neighbor Language Models
Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
Non-parametric neural language models (NLMs) learn predictive distributions of text utilizing an external datastore, which allows them to learn through explicitly memorizing the tr…
Paraphrastic Representations at Scale
John Wieting, Kevin Gimpel, Graham Neubig +1
We present a system that allows users to train their own state-of-the-art paraphrastic sentence representations in a variety of languages. We also release trained models for Englis…