A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models

4 June 2023

Papers citing "A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models"

7 / 7 papers shown

Title
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training Lianke Qin Saayan Mitra Zhao-quan Song Yuanyuan Yang Tianyi Zhou 27 0 0 19 Nov 2023
The Expressibility of Polynomial based Attention Scheme Zhao-quan Song Guangyi Xu Junze Yin 27 5 0 30 Oct 2023
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification Lianke Qin Zhao-quan Song Yuanyuan Yang 20 9 0 13 Jul 2023
Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation Zhao-quan Song Mingquan Ye Junze Yin Licheng Zhang 24 7 0 07 Jun 2023
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression Yeqi Gao Zhao-quan Song Junze Yin 23 33 0 01 May 2023
Probing Classifiers: Promises, Shortcomings, and Advances Yonatan Belinkov 221 402 0 24 Feb 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016