2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 2 cited
Can current NLI systems handle German word order? Investigating language model performance on a new German challenge set of minimal pairs
Ines Reinig, Katja Markert
Compared to English, German word order is freer and therefore poses additional challenges for natural language inference (NLI). We create WOGLI (Word Order in German Language Infer…
cs.CL2023
With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness
Julius Steen, Juri Opitz, Anette Frank +1
Conditional language models still generate unfaithful output that is not supported by their input. These unfaithful generations jeopardize trust in real-world applications such as…
cs.CL2023
SimCSum: Joint Learning of Simplification and Cross-lingual Summarization for Cross-lingual Science Journalism
Mehwish Fatima, Tim Kolber, Katja Markert +1
Cross-lingual science journalism generates popular science stories of scientific articles different from the source language for a non-expert audience. Hence, a cross-lingual popul…