4 papers · 1 filter
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
Qianli Wang, Tatiana Anikina, Nils Feldhus +3
Interpretability tools that offer explanations in the form of a dialogue have demonstrated their efficacy in enhancing users' understanding (Slack et al., 2023; Shen et al., 2023),…
Investigating the Encoding of Words in BERT's Neurons using Feature Textualization
Tanja Baeumel, Soniya Vijayakumar, Josef van Genabith +2
Pretrained language models (PLMs) form the basis of most state-of-the-art NLP technologies. Nevertheless, they are essentially black boxes: Humans do not have a clear understanding…
Translating away Translationese without Parallel Data
Rricha Jalota, Koel Dutta Chowdhury, Cristina España-Bonet +1
Translated texts exhibit systematic linguistic differences compared to original texts in the same language, and these differences are referred to as translationese. Translationese…
Exploring Paracrawl for Document-level Neural Machine Translation
Yusser Al Ghussin, Jingyi Zhang, Josef van Genabith
Document-level neural machine translation (NMT) has outperformed sentence-level NMT on a number of datasets. However, document-level NMT is still not widely adopted in real-world t…