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We need to talk about random seeds

We need to talk about random seeds

24 October 2022
Steven Bethard
ArXivPDFHTML

Papers citing "We need to talk about random seeds"

6 / 6 papers shown
Title
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
Hao Zhou
Guergana Savova
Lijing Wang
41
0
0
10 Mar 2025
Explanation sensitivity to the randomness of large language models: the
  case of journalistic text classification
Explanation sensitivity to the randomness of large language models: the case of journalistic text classification
Jérémie Bogaert
Marie-Catherine de Marneffe
Antonin Descampe
Louis Escouflaire
Cedrick Fairon
François-Xavier Standaert
19
1
0
07 Oct 2024
Better than Random: Reliable NLG Human Evaluation with Constrained
  Active Sampling
Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling
Jie Ruan
Xiao Pu
Mingqi Gao
Xiaojun Wan
Yuesheng Zhu
33
3
0
12 Jun 2024
A Cascaded Neural Network System For Rating Student Performance In
  Surgical Knot Tying Simulation
A Cascaded Neural Network System For Rating Student Performance In Surgical Knot Tying Simulation
Yunzhe Xue
Olanrewaju A Eletta
J. Ady
Nell M. Patel
Advaith Bongu
Usman Roshan
16
1
0
09 Dec 2023
On The Impact of Machine Learning Randomness on Group Fairness
On The Impact of Machine Learning Randomness on Group Fairness
Prakhar Ganesh
Hong Chang
Martin Strobel
Reza Shokri
FaML
16
30
0
09 Jul 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,950
0
20 Apr 2018
1