2 papers
cs.LG2026
Sparser, Faster, Lighter Transformer Language Models
Edoardo Cetin, Stefano Peluchetti, Emilio Castillo +3
Scaling autoregressive large language models (LLMs) has driven unprecedented progress but comes with vast computational costs. In this work, we tackle these costs by leveraging uns…
cs.DS2024
CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs
Hiroyuki Ootomo, Akira Naruse, Corey Nolet +3
Approximate Nearest Neighbor Search (ANNS) plays a critical role in various disciplines spanning data mining and artificial intelligence, from information retrieval and computer vi…