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Validity of LLMs as data annotators: AMALIA on authority

AchievementResearchJul 10, 2026

Manuel Pita authored a paper titled "Validity of LLMs as data annotators: AMALIA on authority," submitted to arXiv on July 9, 2026. The paper, categorized under cs.CL, examines whether large language models can serve as reliable data annotators, specifically addressing the concept of authority within the AMALIA framework. The submission includes a 55 KB document with PDF and HTML access options.

Evidence

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Citation chain · 1 source

01medPRIMARY
AMALIAModelManuel PitaPerson
Canonical: https://arxiv.org/abs/2607.08731