most citedBioBART: Pretraining and Evaluation of A Biomedical Generative Language Model

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2022

TCBERT: A Technical Report for Chinese Topic Classification BERT

Ting Han, Kunhao Pan, Xinyu Chen +5

Bidirectional Encoder Representations from Transformers or BERT~\cite{devlin-etal-2019-bert} has been one of the base models for various NLP tasks due to its remarkable performance…

cs.CL20221 cited

Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective

Ping Yang, Junjie Wang, Ruyi Gan +6

We propose a new paradigm for zero-shot learners that is format agnostic, i.e., it is compatible with any format and applicable to a list of language tasks, such as text classifica…

cs.CL20224 cited

BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model

Hongyi Yuan, Zheng Yuan, Ruyi Gan +3

Pretrained language models have served as important backbones for natural language processing. Recently, in-domain pretraining has been shown to benefit various domain-specific dow…

cs.CV2020

Long Short-Term Sample Distillation

Liang Jiang, Zujie Wen, Zhongping Liang +7

In the past decade, there has been substantial progress at training increasingly deep neural networks. Recent advances within the teacher--student training paradigm have establishe…

cs.LG20202 cited

Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy

Jiaxing Zhang, Hoang Tran, Guannan Zhang

Evolution strategy (ES) has been shown great promise in many challenging reinforcement learning (RL) tasks, rivaling other state-of-the-art deep RL methods. Yet, there are two limi…