EMNLP 2021main130 citations

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Donghyun Kwak, Jeon Dong Hyeon, Sunghyun Park, Sungju Kim

Abstract

GPT-3 shows remarkable in-context learning ability of large-scale language models (LMs) trained on hundreds of billion scale data. Here we address some remaining issues less reported by the GPT-3 paper, such as a non-English LM, the performances of different sized models, and the effect of recently introduced prompt optimization on in-context learning. To achieve this, we introduce HyperCLOVA, a Korean variant of 82B GPT-3 trained on a Korean-centric corpus of 560B tokens. Enhanced by our Korean-specific tokenization, HyperCLOVA with our training configuration shows state-of-the-art in-context zero-shot and few-shot learning performances on various downstream tasks in Korean. Also, we show the performance benefits of prompt-based learning and demonstrate how it can be integrated into the prompt engineering pipeline. Then we discuss the possibility of materializing the No Code AI paradigm by providing AI prototyping capabilities to non-experts of ML by introducing HyperCLOVA studio, an interactive prompt engineering interface. Lastly, we demonstrate the potential of our methods with three successful in-house applications.

BibTeX
@inproceedings{kim-etal-2021-changes,
    title = "What Changes Can Large-scale Language Models Bring? Intensive Study on {H}yper{CLOVA}: Billions-scale {K}orean Generative Pretrained Transformers",
    author = "Kim, Boseop  and
      Kim, HyoungSeok  and
      Lee, Sang-Woo  and
      Lee, Gichang  and
      Kwak, Donghyun  and
      Dong Hyeon, Jeon  and
      Park, Sunghyun  and
      Kim, Sungju  and
      Kim, Seonhoon  and
      Seo, Dongpil  and
      Lee, Heungsub  and
      Jeong, Minyoung  and
      Lee, Sungjae  and
      Kim, Minsub  and
      Ko, Suk Hyun  and
      Kim, Seokhun  and
      Park, Taeyong  and
      Kim, Jinuk  and
      Kang, Soyoung  and
      Ryu, Na-Hyeon  and
      Yoo, Kang Min  and
      Chang, Minsuk  and
      Suh, Soobin  and
      In, Sookyo  and
      Park, Jinseong  and
      Kim, Kyungduk  and
      Kim, Hiun  and
      Jeong, Jisu  and
      Yeo, Yong Goo  and
      Ham, Donghoon  and
      Park, Dongju  and
      Lee, Min Young  and
      Kang, Jaewook  and
      Kang, Inho  and
      Ha, Jung-Woo  and
      Park, Woomyoung  and
      Sung, Nako",
    editor = "Moens, Marie-Francine  and
      Huang, Xuanjing  and
      Specia, Lucia  and
      Yih, Scott Wen-tau",
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.emnlp-main.274/",
    doi = "10.18653/v1/2021.emnlp-main.274",
    pages = "3405--3424"
}