7 citations · 7 across the 1 of their papers we have counts for
2 papers
cs.CV2025★ 7 cited
AoP-SAM: Automation of Prompts for Efficient Segmentation
Yi Chen, Mu-Young Son, Chuanbo Hua +1
The Segment Anything Model (SAM) is a powerful foundation model for image segmentation, showing robust zero-shot generalization through prompt engineering. However, relying on manu…
cs.AR2025
ADOR: A Design Exploration Framework for LLM Serving with Enhanced Latency and Throughput
Junsoo Kim, Hunjong Lee, Geonwoo Ko +4
The growing adoption of Large Language Models (LLMs) across various domains has driven the demand for efficient and scalable AI-serving solutions. Deploying LLMs requires optimizat…