75 citations · 90 across the 5 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2021★ 75 cited
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Ningyu Zhang, Luoqiu Li, Xiang Chen +5
Large-scale pre-trained language models have contributed significantly to natural language processing by demonstrating remarkable abilities as few-shot learners. However, their eff…
cs.CL2021★ 2 cited
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction
Luoqiu Li, Xiang Chen, Zhen Bi +6
Recent neural-based relation extraction approaches, though achieving promising improvement on benchmark datasets, have reported their vulnerability towards adversarial attacks. Thu…
cs.CL2020★ 3 cited
On Robustness and Bias Analysis of BERT-based Relation Extraction
Luoqiu Li, Xiang Chen, Hongbin Ye +4
Fine-tuning pre-trained models have achieved impressive performance on standard natural language processing benchmarks. However, the resultant model generalizability remains poorly…