1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
An Extra RMSNorm is All You Need for Fine Tuning to 1.58 Bits
Cody Steinmetz, Gavin Childress, Aaron Herbst +4
Large language models (LLMs) have transformed natural-language processing, yet their scale makes real-world deployment costly. Post-training quantization reduces memory and computa…
cs.MA2024★ 1 cited
Synergistic Simulations: Multi-Agent Problem Solving with Large Language Models
Asher Sprigler, Alexander Drobek, Keagan Weinstock +4
Large Language Models (LLMs) have increasingly demonstrated the ability to facilitate the development of multi-agent systems that allow the interpretation of thoughts and actions g…