59 citations · 60 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 1 cited
Lifting the Curse of Capacity Gap in Distilling Language Models
Chen Zhang, Yang Yang, Jiahao Liu +4
Pretrained language models (LMs) have shown compelling performance on various downstream tasks, but unfortunately they require a tremendous amount of inference compute. Knowledge d…
cs.CL2023★ 59 cited
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
Bo Li, Gexiang Fang, Yang Yang +4
The capability of Large Language Models (LLMs) like ChatGPT to comprehend user intent and provide reasonable responses has made them extremely popular lately. In this paper, we foc…
cs.CL2022
Rethinking the Value of Gazetteer in Chinese Named Entity Recognition
Qianglong Chen, Xiangji Zeng, Jiangang Zhu +4
Gazetteer is widely used in Chinese named entity recognition (NER) to enhance span boundary detection and type classification. However, to further understand the generalizability a…