Sign inGet started
Paper · arXiv

EuroExec: Frontier Language Models Fall Short of Expert Judgment on European Executive Decision Tasks

Frontier LLMs are increasingly put to use on open-ended complex questions, different in nature from the ones they are typically evaluated on. We dedicate more than 4,000 human expert hours to evaluate a selection of six frontier LLMs on a member of this class of problems: EuroExec, our introduced human expert-based benchmark composed of 413 open-ended long-form European executive tasks authored by 47 vetted domain experts, each question drawn from experience in a real case. Every response is manually evaluated through a multi-attribute rubric, an item-specific checklist of requirements, and a preference rank ordering, extracting an aggregate metric "Solve Rate". The strongest model solves...

AuthorsPau Arnal, Khaled Denfir, Danylo Smahliuk et al.
Primary categorycs.CL
Published5 August 2026
Last updated at source6 August 2026
cs.CLcs.AIcs.LG
Embed this entry
<iframe src="https://silytics.si/embed/item/c5610d23-192e-463e-8559-a4dee5b8f89f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.