1 citations · 1 across the 2 of their papers we have counts for
3 papers
Why Pretraining Fails to Share Cross-Lingual Knowledge
Adam Gaber, Uriel Dolev, Elisabeth Fittschen +3
Large Language Models (LLMs) have made remarkable progress in the processing and modeling of many languages. Yet, unlike human multilinguals, they exhibit surprisingly limited cros…
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +241
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
Pretraining Language Models for Diachronic Linguistic Change Discovery
Elisabeth Fittschen, Sabrina Li, Tom Lippincott +2
Large language models (LLMs) have shown potential as tools for scientific discovery. This has engendered growing interest in their use in humanistic disciplines, such as historical…