activity
20142024
most citedScalable and accurate deep learning for electronic health records

2.7k citations · 8.5k across the 41 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.LG2023

Brainformers: Trading Simplicity for Efficiency

Yanqi Zhou, Nan Du, Yanping Huang +12

Transformers are central to recent successes in natural language processing and computer vision. Transformers have a mostly uniform backbone where layers alternate between feed-for…

cs.CV2023★ 6 cited

MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation

Marco Bellagente, Manuel Brack, Hannah Teufel +11

The recent popularity of text-to-image diffusion models (DM) can largely be attributed to the intuitive interface they provide to users. The intended generation can be expressed in…

cs.CL2023★ 168 cited

PaLM 2 Technical Report

Rohan Anil, Andrew M. Dai, Orhan Firat +125

We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 i…

cs.CV2023★ 9 cited

MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks

Weicheng Kuo, AJ Piergiovanni, Dahun Kim +9

The development of language models have moved from encoder-decoder to decoder-only designs. In addition, we observe that the two most popular multimodal tasks, the generative and c…

cs.CL2023

Massively Multilingual Shallow Fusion with Large Language Models

Ke Hu, Tara N. Sainath, Bo Li +7

While large language models (LLM) have made impressive progress in natural language processing, it remains unclear how to utilize them in improving automatic speech recognition (AS…