作者位次 #4/5ACL 2026Poster· Natural Language Processing
S k MTEB : S lovak Massive Text Embedding Benchmark and Model Adaptation
Marek Šuppa · Andrej Ridzik · Daniel Hládek · Natália Kňažeková · Viktória Ondrejová
摘要
We introduce SkMTEB, the first comprehensive MTEB-style text embedding benchmark for Slovak, a low-resource West Slavic language, comprising 31 datasets across 7 task types—nearly 4 \times the depth of existing multilingual benchmark coverage for Slovak. Our evaluation of 31 embedding models reve...