2 citations · 3 across the 6 of their papers we have counts for
6 papers
Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages
Maria Ivanova, Pavel Zadorozhny, Rodion Levichev +5
LiveCodeBench (LCB) has recently become a widely adopted benchmark for evaluating large language models (LLMs) on code-generation tasks. By curating competitive programming problem…
Investigating on RLHF methodology
Alexey Kutalev, Sergei Markoff
In this article, we investigate the alignment of Large Language Models according to human preferences. We discuss the features of training a Preference Model, which simulates human…
Correlation of the importances of neural network weights calculated by modern methods of overcoming catastrophic forgetting
Alexey Kutalev
Following the invention in 2017 of the EWC method, several methods have been proposed to calculate the importance of neural network weights for use in the EWC method. Despite the s…
Empirical investigations on WVA structural issues
Alexey Kutalev, Alisa Lapina
In this paper we want to present the results of empirical verification of some issues concerning the methods for overcoming catastrophic forgetting in neural networks. First, in th…
Stabilizing Elastic Weight Consolidation method in practical ML tasks and using weight importances for neural network pruning
Alexey Kutalev, Alisa Lapina
This paper is devoted to the features of the practical application of the Elastic Weight Consolidation (EWC) method for continual learning of neural networks on several training se…
Natural Way to Overcome the Catastrophic Forgetting in Neural Networks
Alexey Kutalev
Not so long ago, a method was discovered that successfully overcomes the catastrophic forgetting in neural networks. Although we know about the cases of using this method to preser…