Token-level Fitting Issues of Seq2seq Models

Guangsheng Bao, Zhiyang Teng, Yue Zhang


Anthology ID:
2023.repl4nlp-1.23
Original:
2023.repl4nlp-1.23v1
Version 2:
2023.repl4nlp-1.23v2
Volume:
Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Burcu Can, Maximilian Mozes, Samuel Cahyawijaya, Naomi Saphra, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Chen Zhao, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Lena Voita
Venue:
RepL4NLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
276–288
Language:
URL:
https://aclanthology.org/2023.repl4nlp-1.23
DOI:
10.18653/v1/2023.repl4nlp-1.23
Bibkey:
Cite (ACL):
Guangsheng Bao, Zhiyang Teng, and Yue Zhang. 2023. Token-level Fitting Issues of Seq2seq Models. In Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023), pages 276–288, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Token-level Fitting Issues of Seq2seq Models (Bao et al., RepL4NLP 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.repl4nlp-1.23.pdf
Video:
 https://aclanthology.org/2023.repl4nlp-1.23.mp4