Improved Natural Language Generation via Loss Truncation
Table 6: BLEU scores for loss truncation at various c and the baseline model on the E2E task. As shown, loss truncation outperforms the baseline on BLEU score at a range of hyperparameters.
['Condition', 'BLEU']
As shown, truncation outperforms on automated metrics on a variety of hyperparameter settings on automated metrics. We leave a full investigation of sensitivity to c as future work.