← Search

Marek Šuppa

2 accepted papers

2026

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation

ICML 2026poster

Artificial Intelligence (AI) benchmarks play a central role in measuring progress in model development and guiding deployment decisions. However, many benchmarks quickly become saturated, meaning that they can no longer differentiate between the best-performing models, diminishing their long-term va…

Cited by 0SourceScholar
2024

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark

NAACL 2024long

We introduce Universal NER (UNER), an open, community-driven project to develop gold-standard NER benchmarks in many languages. The overarching goal of UNER is to provide high-quality, cross-lingually consistent annotations to facilitate and standardize multilingual NER research. UNER v1 contains 19…