9 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 9 cited
"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time
Scott Rome, Tianwen Chen, Raphael Tang +2
Customer service is how companies interface with their customers. It can contribute heavily towards the overall customer satisfaction. However, high-quality service can become expe…
cs.CL2022
SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale
Raphael Tang, Karun Kumar, Gefei Yang +7
End-to-end automatic speech recognition systems represent the state of the art, but they rely on thousands of hours of manually annotated speech for training, as well as heavyweigh…
cs.CV2022★ 5 cited
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
Raphael Tang, Linqing Liu, Akshat Pandey +6
Large-scale diffusion neural networks represent a substantial milestone in text-to-image generation, but they remain poorly understood, lacking interpretability analyses. In this p…