Mikhail Khalman

Calibrating Sequence likelihood Improves Conditional Language Generation

Conditional language models are predominantly trained with maximum likelihood estimation (MLE), giving probability mass to sparsely observed target sequences. While MLE trained models assign high probability to plausible sequences given the context, the model probabilities often do not accurately ra…