Showing 2025Show all
3 papers · 1 filter
cs.CL2025
Uncertainty Quantification for Evaluating Machine Translation Bias
Ieva Raminta Staliūnaitė, Julius Cheng, Andreas Vlachos
The predictive uncertainty of machine translation (MT) models is typically used as a quality estimation proxy. In this work, we posit that apart from confidently translating when a…
cs.CL2025
ByteSpan: Information-Driven Subword Tokenisation
Zébulon Goriely, Suchir Salhan, Pietro Lesci +2
Recent dynamic tokenisation methods operate directly on bytes and pool their latent representations into patches. This bears similarities to computational models of word segmentati…
cs.CL2025
Early-Exit and Instant Confidence Translation Quality Estimation
Vilém Zouhar, Maike Züfle, Beni Egressy +3
Quality estimation is omnipresent in machine translation, for both evaluation and generation. Unfortunately, quality estimation models are often opaque and computationally expensiv…