27 citations · 44 across the 16 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.SD2023★ 5 cited
Audiobox: Unified Audio Generation with Natural Language Prompts
Apoorv Vyas, Bowen Shi, Matthew Le +21
Audio is an essential part of our life, but creating it often requires expertise and is time-consuming. Research communities have made great progress over the past year advancing t…
eess.AS2023
Generative Pre-training for Speech with Flow Matching
Alexander H. Liu, Matt Le, Apoorv Vyas +3
Generative models have gained more and more attention in recent years for their remarkable success in tasks that required estimating and sampling data distribution to generate high…
cs.LG2023★ 27 cited
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning
Lili Yu, Bowen Shi, Ramakanth Pasunuru +24
We present CM3Leon (pronounced "Chameleon"), a retrieval-augmented, token-based, decoder-only multi-modal language model capable of generating and infilling both text and images. C…