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RESEARCH RECORD

Measuring what Matters: Construct Validity in Large Language Model Benchmarks

Andrew M. Bean · Ryan Othniel Kearns · Angelika Romanou · Franziska Sofia Hafner · Harry Mayne · Jan Batzner · Negar Foroutan · Chris Schmitz · Karolina Korgul · Hunar Batra · Oishi Deb · Emma Beharry · Cornelius Emde · Thomas Foster · Anna Gausen · María Grandury · Simeng Han · Valentin Hofmann · Lujain Ibrahim · Hazel Kim · Hannah Rose Kirk · Fangru Lin · Gabrielle Kaili-May Liu · Lennart Luettgau · Jabez Magomere · Jonathan Rystrøm · Anna Sotnikova · Yushi Yang · Yilun Zhao · Adel Bibi · Antoine Bosselut · Ronald Clark · Arman Cohan · Jakob Foerster · Yarin Gal · Scott A. Hale · Inioluwa Deborah Raji · Christopher Summerfield · Philip H.S. Torr · Cozmin Ududec · Luc Rocher · Adam Mahdi · University of Oxford-led multi-institution research team

Original publication ↗ · BibTeX · RIS

The review identifies recurring gaps between constructs, operational tasks and resulting claims, and proposes a practical checklist for benchmark design and interpretation.

Research question

Do benchmark tasks and scores support the phenomena that their authors claim to measure?

Design & assumptions

A systematic review uses an expert codebook to examine phenomenon definitions, task sampling, scoring and validity claims in benchmark papers.

Findings

The review identifies recurring gaps between constructs, operational tasks and resulting claims, and proposes a practical checklist for benchmark design and interpretation.

Limits & counterevidence

The conference and keyword selection excludes parts of the literature. Checklist coverage is not proof that a benchmark is valid, and missed reporting does not establish that a procedure was never performed.

Source evidence

No structured numerical extraction is available in this reading package.

Reading scope & review

Selected original HTML sections and table context; not a complete paper/appendix audit or independent reproduction.

Model-assisted reading; independent evidence review pending.

Check the original source ↗