27 citations · 27 across the 2 of their papers we have counts for
2 papers
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…
cs.CL2023
In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages
Asım Ersoy, Gerson Vizcarra, Tasmiah Tahsin Mayeesha +1
Multilingual generative language models (LMs) are increasingly fluent in a large variety of languages. Trained on the concatenation of corpora in multiple languages, they enable po…