Papers by Prudhvi Raj Dachapally

1 papers
Query-Key Normalization for Transformers (2020.findings-emnlp)

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Challenge: Low-resource language translation is a challenging but socially valuable NLP task.
Approach: They propose a normalization technique that modifies the attention mechanism to make the softmax function less prone to arbitrary saturation without sacrificing expressivity.
Outcome: The proposed technique improves 0.928 BLEU over state-of-the-art bilingual benchmarks for 5 low-resource translation pairs from the TED Talks corpus and IWSLT’15.

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