4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CY2025★ 4 cited
AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons
Shaona Ghosh, Heather Frase, Adina Williams +99
The rapid advancement and deployment of AI systems have created an urgent need for standard safety-evaluation frameworks. This paper introduces AILuminate v1.0, the first comprehen…
cs.CV2024★ 1 cited
MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model
Rajat Sahay, Andreas Savakis
The emergence of foundation models, such as the Segment Anything Model (SAM), has sparked interest in Parameter-Efficient Fine-Tuning (PEFT) methods that tailor these large models…