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Thinh Truong

2 accepted papers

2024

Revisiting subword tokenization: A case study on affixal negation in large language models

NAACL 2024long

In this work, we measure the impact of affixal negation on modern English large language models (LLMs). In affixal negation, the negated meaning is expressed through a negative morpheme, which is potentially challenging for LLMs as their tokenizers are often not morphologically plausible. We conduct…

Cited by 2SourcePDFScholar
2022

Improving negation detection with negation-focused pre-training

NAACL 2022long

Negation is a common linguistic feature that is crucial in many language understanding tasks, yet it remains a hard problem due to diversity in its expression in different types of text. Recent works show that state-of-the-art NLP models underperform on samples containing negation in various tasks,…

Cited by 18SourcePDFScholar