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20202026
most citedGetting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment

1 citations · 2 across the 13 of their papers we have counts for

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math.OC2022

A Riemannian ADMM

Jiaxiang Li, Shiqian Ma, Tejes Srivastava

We consider a class of Riemannian optimization problems where the objective is the sum of a smooth function and a nonsmooth function, considered in the ambient space. This class of…

cs.LG2022

Federated Learning on Riemannian Manifolds

Jiaxiang Li, Shiqian Ma

Federated learning (FL) has found many important applications in smart-phone-APP based machine learning applications. Although many algorithms have been studied for FL, to the best…