An empirical study showing that smaller monolingual language models are more vulnerable to adversarial attacks than larger multilingual models across 70 languages, though multilinguality alone does not guarantee security.
On Tables with Numbers, with Numbers
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
This paper is a critical reflection on the epistemic culture of contemporary computational linguistics, framed in the context of its growing obsession with tables with numbers. We argue against tables with numbers on the basis of their epistemic irrelevance, their environmental impact, their role in enabling and exacerbating social inequalities, and their deep ties to commercial applications and profit-driven research. We substantiate our arguments with empirical evidence drawn from a meta-analysis of computational linguistics research over the last decade.
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Beyond Weaponization: NLP Security for Medium and Lower-Resourced Languages in Their Own Right
An empirical study showing that smaller monolingual language models are more vulnerable to adversarial attacks than larger multilingual models across 70 languages, though multilinguality alone does not guarantee security.