Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.
Lili YuBowen ShiRamakanth PasunuruBenjamin MullerOlga GolovnevaTianlu WangArun BabuBinh TangBrian KarrerShelly SheyninCandace RossAdam PolyakRussell HowesVasu SharmaPuxin XuHovhannes TamoyanOron AshualUriel SingerShang-Wen LiSusan ZhangRichard JamesGargi GhoshYaniv TaigmanMaryam Fazel-ZarandiAsli CelikyilmazLuke ZettlemoyerArmen AghajanyanPublished in: CoRR (2023)
Keyphrases
- multi modal
- autoregressive
- moving average
- non stationary
- random fields
- multi modality
- gaussian markov random field
- cross modal
- autoregressive model
- random field models
- image processing
- co occurrence
- sar images
- probabilistic model
- high dimensional
- video search
- bayesian networks
- autoregressive moving average
- machine learning