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The RISE Humanities Data Benchmark: From Anecdote to Evidence

Year: 2026

Type: article

Abstract: The RISE Humanities Data Benchmark replaces anecdotal model selection with systematic evidence by testing a wide range of large language models across diverse humanities datasets, revealing that no single model dominates, cost differences between similarly performing models can be dramatic, and that the process of making evaluative standards explicit is itself a key benefit for research projects.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19659372

Authors: Hindermann, Maximilian, Marti, Sorin

Institution: University of Basel

Language: English

Topic: Digital Humanities and Scholarship

Subfield: Literature and Literary Theory

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7155083140

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