Papers with nearest neighbor machine translation

1 papers
Efficient Domain Adaptation for Non-Autoregressive Machine Translation (2024.findings-acl)

Copied to clipboard

Challenge: Existing non-parametric approaches like nearest neighbor machine translation have made small Autoregressive translation models less efficient . despite their impressive generalization and task performance, LLMs suffer from prohibitive inference cost when confronted with specific domains.
Approach: They propose a domain adaptation approach that tailors a k-nearest-neighbor algorithm for NAT models that incorporates the parallel nature of NAT.
Outcome: The proposed approach achieves significant improvements over the Base-NAT model and exhibits enhanced efficiency.

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