2 papers
cs.CL2026
Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+
York Hay Ng, Aditya Khan, Xiang Lu +5
Existing linguistic knowledge bases such as URIEL+ provide valuable geographic, genetic and typological distances for cross-lingual transfer but suffer from two key limitations. Fi…
cs.CL2024
Can Transformers Learn -gram Language Models?
Anej Svete, Nadav Borenstein, Mike Zhou +2
Much theoretical work has described the ability of transformers to represent formal languages. However, linking theoretical results to empirical performance is not straightforward…