Leading Whitespaces of Language Models’ Subword Vocabulary Pose a Confound for Calculating Word Probabilities

Byung-Doh Oh, William Schuler


Anthology ID:
2024.emnlp-main.202
Volume:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3464–3472
Language:
URL:
https://aclanthology.org/2024.emnlp-main.202
DOI:
Bibkey:
Cite (ACL):
Byung-Doh Oh and William Schuler. 2024. Leading Whitespaces of Language Models’ Subword Vocabulary Pose a Confound for Calculating Word Probabilities. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 3464–3472, Miami, Florida, USA. Association for Computational Linguistics.
Cite (Informal):
Leading Whitespaces of Language Models’ Subword Vocabulary Pose a Confound for Calculating Word Probabilities (Oh & Schuler, EMNLP 2024)
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PDF:
https://aclanthology.org/2024.emnlp-main.202.pdf