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20212026
most citedCode Llama: Open Foundation Models for Code

425 citations · 886 across the 37 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CL2023

Generative Spoken Language Model based on continuous word-sized audio tokens

Robin Algayres, Yossi Adi, Tu Anh Nguyen +4

In NLP, text language models based on words or subwords are known to outperform their character-based counterparts. Yet, in the speech community, the standard input of spoken LMs a…

eess.AS2023★ 1 cited

Low-Resource Self-Supervised Learning with SSL-Enhanced TTS

Po-chun Hsu, Ali Elkahky, Wei-Ning Hsu +6

Self-supervised learning (SSL) techniques have achieved remarkable results in various speech processing tasks. Nonetheless, a significant challenge remains in reducing the reliance…

cs.CL2023

EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis

Tu Anh Nguyen, Wei-Ning Hsu, Antony D'Avirro +10

Recent work has shown that it is possible to resynthesize high-quality speech based, not on text, but on low bitrate discrete units that have been learned in a self-supervised fash…

cs.CL2023★ 425 cited

Code Llama: Open Foundation Models for Code

Baptiste Rozière, Jonas Gehring, Fabian Gloeckle +23

We release Code Llama, a family of large language models for code based on Llama 2 providing state-of-the-art performance among open models, infilling capabilities, support for lar…

cs.SD2023★ 66 cited

Simple and Controllable Music Generation

Jade Copet, Felix Kreuk, Itai Gat +5

We tackle the task of conditional music generation. We introduce MusicGen, a single Language Model (LM) that operates over several streams of compressed discrete music representati…

cs.CL2023★ 7 cited

Textually Pretrained Speech Language Models

Michael Hassid, Tal Remez, Tu Anh Nguyen +9

Speech language models (SpeechLMs) process and generate acoustic data only, without textual supervision. In this work, we propose TWIST, a method for training SpeechLMs using a war…