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20202026
most citedTime for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks

12 citations · 14 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.CL2026

Muse Glimmer 30B: An On-Device Agentic Model

Arash Ebrahim Abtahizadeh, Muna Aghamelu, Adil Ahmed +327

We introduce Muse Glimmer, an open-source 30B parameter causal language model with perception encoder, purpose-built for autonomous agentic tasks on consumer hardware. Muse Glimmer…

cs.CY2026

Muse Spark Safety & Preparedness Report

Cristina Menghini, Peter Ney, Hamza Kwisaba +117

Muse Spark is the latest large language model developed by Meta. In this report, we first present evaluations for catastrophic risk domains under Meta's Advanced AI Scaling Framewo…