2 papers
cs.CL2026
The Role of Ambiguity in Error Prediction via Uncertainty Quantification
Ieva Raminta Staliūnaitė, James Bishop, Andreas Vlachos
The task of Error Prediction, namely predicting whether a model output is correct, is commonly tackled with Uncertainty Quantification (UQ). However, while uncertainty metrics capt…
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…