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Evgeniia Tokarchuk

2 accepted papers

2025

Angular Dispersion Accelerates k-Nearest Neighbors Machine Translation

EMNLP 2025

Augmenting neural machine translation with external memory at decoding time, in the form of k -nearest neighbors machine translation ( k -NN MT), is a well-established strategy for increasing translation performance. k -NN MT retrieves a set of tokens that occurred in the most similar contexts recor

2024

The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation

NAACL 2024short

Continuous-output neural machine translation (CoNMT) replaces the discrete next-word prediction problem with an embedding prediction.The semantic structure of the target embedding space (*i.e.*, closeness of related words) is intuitively believed to be crucial. We challenge this assumption and show…