Showing cs.LGShow all
2 papers · 1 filter
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.LG2024
The Ungrounded Alignment Problem
Marc Pickett, Aakash Kumar Nain, Joseph Modayil +1
Modern machine learning systems have demonstrated substantial abilities with methods that either embrace or ignore human-provided knowledge, but combining benefits of both styles r…