Artyom Kozhevnikov — accepted AI-conference papers

2025

Less Mature is More Adaptable for Sentence-level Language Modeling

Abhilasha Sancheti, David Dale, Artyom Kozhevnikov, Maha Elbayad

ACL 2025long

This work investigates sentence-level models (i.e., models that operate at the sentence-level) to study how sentence representations from various encoders influence downstream task performance, and which syntactic, semantic, and discourse-level properties are essential for strong performance. Our ex…

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2024

Aligning Speech Segments Beyond Pure Semantics

Kevin Heffernan, Artyom Kozhevnikov, Loic Barrault, Alexandre Mourachko, Holger Schwenk

ACL 2024findings

Multilingual parallel data for speech-to-speech translation is scarce and expensive to create from scratch. This is all the more true for expressive speech translation, which aims at preserving not only the semantics, but also the overall prosody (e.g. style, emotion, rate-of-speech). Existing corpo…

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