CARLoS: Retrieval via Concise Assessment Representation of LoRAs at Scale
By: Shahar Sarfaty, Adi Haviv, Uri Hacohen, Niva Elkin-Koren, Roi Livni, Amit H. Bermano
Published: 2025-12-10
View on arXiv →#cs.AI
Abstract
This research presents CARLoS, a method for efficient retrieval utilizing Concise Assessment Representation of LoRAs (Low-Rank Adaptations) at scale, offering significant potential for optimizing the deployment and performance of large language models in practical scenarios.