62 citations · 235 across the 8 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CL2021★ 25 cited
Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning
Shaohua Wu, Xudong Zhao, Tong Yu +8
Recent work like GPT-3 has demonstrated excellent performance of Zero-Shot and Few-Shot learning on many natural language processing (NLP) tasks by scaling up model size, dataset s…
cs.CL2021★ 28 cited
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
Liang Xu, Xiaojing Lu, Chenyang Yuan +8
Pretrained Language Models (PLMs) have achieved tremendous success in natural language understanding tasks. While different learning schemes -- fine-tuning, zero-shot, and few-shot…
cs.LG2021★ 3 cited
Evaluating Modules in Graph Contrastive Learning
Ganqu Cui, Yufeng Du, Cheng Yang +5
The recent emergence of contrastive learning approaches facilitates the application on graph representation learning (GRL), introducing graph contrastive learning (GCL) into the li…