12 citations · 15 across the 4 of their papers we have counts for
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cs.AI2025★ 12 cited
Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation
Maria Eriksson, Erasmo Purificato, Arman Noroozian +4
Quantitative Artificial Intelligence (AI) Benchmarks have emerged as fundamental tools for evaluating the performance, capability, and safety of AI models and systems. Currently, t…
cs.AI2025
Supervision policies can shape long-term risk management in general-purpose AI models
Manuel Cebrian, Emilia Gomez, David Fernandez Llorca
The rapid proliferation and deployment of General-Purpose AI (GPAI) models, including large language models (LLMs), present unprecedented challenges for AI supervisory entities. We…