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A survey of evaluation metrics used for NLG systems

AB Sai, AK Mohankumar, MM Khapra - ACM Computing Surveys (CSUR …, 2022 - dl.acm.org
In the last few years, a large number of automatic evaluation metrics have been proposed for
evaluating Natural Language Generation (NLG) systems. The rapid development and …
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Continual learning of large language models: A comprehensive survey

H Shi, Z Xu, H Wang, W Qin, W Wang, Y Wang… - ar** large generative language models to supervised tasks may
fail to sufficiently probe models' novel capabilities. Using GPT-3 as a case study, we show …
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[HTML][HTML] Pre-trained models: Past, present and future

X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu… - AI Open, 2021 - Elsevier
Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved
great success and become a milestone in the field of artificial intelligence (AI). Owing to …
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