Papers by Jonas Lööf

1 papers
Non-Autoregressive Neural Machine Translation: A Call for Clarity (2022.emnlp-main)

Copied to clipboard

Challenge: Non-autoregressive translation models require a single forward pass to generate the output sequence instead of iteratively producing each predicted token.
Approach: They propose to use a single forward pass to generate the output sequence instead of iteratively producing each predicted token.
Outcome: The proposed models improve translation quality and speed under third-party testing environments.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations