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Clustering and Ranking: Diversity-preserved Instruction Selection
  through Expert-aligned Quality Estimation

Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation

28 February 2024
Yuan Ge
Yilun Liu
Chi Hu
Weibin Meng
Shimin Tao
Xiaofeng Zhao
Hongxia Ma
Li Zhang
Hao Yang
Tong Xiao
    ALM
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Papers citing "Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation"

3 / 3 papers shown
Title
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs
Jiancheng Dong
Lei Jiang
Wei Jin
Lu Cheng
31
1
0
18 Aug 2024
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
Weijie Lv
Xuan Xia
Sheng-Jun Huang
ALM
21
2
0
05 Aug 2024
Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models
Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models
Ziche Liu
Rui Ke
Feng Jiang
Feng Jiang
Haizhou Li
49
1
0
20 Jun 2024
1