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cs.CL2026
Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation
Ali Marashian, Alexis Palmer, Katharina von der Wense
The rapid rise in popularity of large language models (LLMs) for translation calls for a thorough study of the reliability of their confidence in their own outputs. Unlike many gen…
cs.CL2026
Massively Multilingual Joint Segmentation and Glossing
Michael Ginn, Lindia Tjuatja, Enora Rice +5
Automated interlinear gloss prediction with neural networks is a promising approach to accelerate language documentation efforts. However, while state-of-the-art models like GlossL…