3 papers
cs.CL2026
Your Multimodal Speech Model Says I Have a Face for Radio
Maya K. Nachesa, Vlad Niculae, Vagrant Gautam
As large neural models have become better at language tasks, researchers are increasingly building multi- and omnimodal models that handle more modalities of data. One example is t…
cs.CL2026
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion
Evgeniia Tokarchuk, Maya K. Nachesa, Sergey Troshin +1
Modern neural translation models based on the Transformer architecture are known for their high performance, particularly when trained on high-resource datasets. A standard next-to…
cs.CL2025
kNN For Whisper And Its Effect On Bias And Speaker Adaptation
Maya K. Nachesa, Vlad Niculae
Speech recognition performance varies by language, domain, and speaker characteristics such as accent, but fine-tuning a model on any of these categories may lead to catastrophic f…