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cs.CL2024
Learning Mathematical Rules with Large Language Models
Antoine Gorceix, Bastien Le Chenadec, Ahmad Rammal +2
In this paper, we study the ability of large language models to learn specific mathematical rules such as distributivity or simplifying equations. We present an empirical analysis…
cs.LG2024
Correlated Quantization for Faster Nonconvex Distributed Optimization
Andrei Panferov, Yury Demidovich, Ahmad Rammal +1
Quantization (Alistarh et al., 2017) is an important (stochastic) compression technique that reduces the volume of transmitted bits during each communication round in distributed m…