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Sample Design Engineering: An Empirical Study of What Makes Good
  Downstream Fine-Tuning Samples for LLMs

Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs

19 April 2024
Biyang Guo
He Wang
Wenyilin Xiao
Hong Chen
Zhuxin Lee
Songqiao Han
Hailiang Huang
ArXivPDFHTML

Papers citing "Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs"

2 / 2 papers shown
Title
Large Language Models Understand and Can be Enhanced by Emotional
  Stimuli
Large Language Models Understand and Can be Enhanced by Emotional Stimuli
Cheng-rong Li
Jindong Wang
Yixuan Zhang
Kaijie Zhu
Wenxin Hou
Jianxun Lian
Fang Luo
Qiang Yang
Xingxu Xie
LRM
67
116
0
14 Jul 2023
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
1