ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models

Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Xin Zhao, Ji-Rong Wen. ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 3519-3539, Association for Computational Linguistics, 2022. [doi]

@inproceedings{LiTGYYCWZW22,
  title = {ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models},
  author = {Junyi Li and Tianyi Tang and Zheng Gong and Lixin Yang and Zhuohao Yu and Zhipeng Chen and Jingyuan Wang and Xin Zhao and Ji-Rong Wen},
  year = {2022},
  url = {https://aclanthology.org/2022.naacl-main.258},
  researchr = {https://researchr.org/publication/LiTGYYCWZW22},
  cites = {0},
  citedby = {0},
  pages = {3519-3539},
  booktitle = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
  editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-71-1},
}