1 citations · 1 across the 7 of their papers we have counts for
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Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
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…
Sequence Repetition Enhances Token Embeddings and Improves Sequence Labeling with Decoder-only Language Models
Matija Luka Kukić, Marko Čuljak, David Dukić +2
Modern language models (LMs) are trained in an autoregressive manner, conditioned only on the prefix. In contrast, sequence labeling (SL) tasks assign labels to each individual inp…
Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings
David Dukić, Ana Barić, Marko Čuljak +2
Measuring how semantics of words change over time improves our understanding of how cultures and perspectives change. Diachronic word embeddings help us quantify this shift, althou…
Strong Heuristics for Named Entity Linking
Marko Čuljak, Andreas Spitz, Robert West +1
Named entity linking (NEL) in news is a challenging endeavour due to the frequency of unseen and emerging entities, which necessitates the use of unsupervised or zero-shot methods.…