45 citations · 62 across the 10 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…
cs.CL2023★ 4 cited
Improving Open Language Models by Learning from Organic Interactions
Jing Xu, Da Ju, Joshua Lane +10
We present BlenderBot 3x, an update on the conversational model BlenderBot 3, which is now trained using organic conversation and feedback data from participating users of the syst…
eess.AS2023★ 45 cited
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Matthew Le, Apoorv Vyas, Bowen Shi +8
Large-scale generative models such as GPT and DALL-E have revolutionized the research community. These models not only generate high fidelity outputs, but are also generalists whic…