most citedJamba-1.5: Hybrid Transformer-Mamba Models at Scale

4 citations · 4 across the 3 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2024★ 4 cited

Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

Jamba Team, Barak Lenz, Alan Arazi +58

We present Jamba-1.5, new instruction-tuned large language models based on our Jamba architecture. Jamba is a hybrid Transformer-Mamba mixture of experts architecture, providing hi…

cs.CL2024

Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)

Avshalom Manevich, Reut Tsarfaty

Large Vision-Language Models (LVLMs) are an extension of Large Language Models (LLMs) that facilitate processing both image and text inputs, expanding AI capabilities. However, LVL…