33 citations · 45 across the 5 of their papers we have counts for
5 papers
Joint Repetition Suppression and Content Moderation of Large Language Models
Minghui Zhang, Alex Sokolov, Weixin Cai +1
Natural language generation (NLG) is one of the most impactful fields in NLP, and recent years have witnessed its evolution brought about by large language models (LLMs). As the ke…
An Evaluation on Large Language Model Outputs: Discourse and Memorization
Adrian de Wynter, Xun Wang, Alex Sokolov +2
We present an empirical evaluation of various outputs generated by nine of the most widely-available large language models (LLMs). Our analysis is done with off-the-shelf, readily-…
USTED: Improving ASR with a Unified Speech and Text Encoder-Decoder
Bolaji Yusuf, Ankur Gandhe, Alex Sokolov
Improving end-to-end speech recognition by incorporating external text data has been a longstanding research topic. There has been a recent focus on training E2E ASR models that ge…
Neural Machine Translation for Multilingual Grapheme-to-Phoneme Conversion
Alex Sokolov, Tracy Rohlin, Ariya Rastrow
Grapheme-to-phoneme (G2P) models are a key component in Automatic Speech Recognition (ASR) systems, such as the ASR system in Alexa, as they are used to generate pronunciations for…
Neural Machine Translation For Paraphrase Generation
Alex Sokolov, Denis Filimonov
Training a spoken language understanding system, as the one in Alexa, typically requires a large human-annotated corpus of data. Manual annotations are expensive and time consuming…