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Stronger Models are NOT Stronger Teachers for Instruction Tuning

Stronger Models are NOT Stronger Teachers for Instruction Tuning

Zhangchen Xu
Fengqing Jiang
Luyao Niu
Bill Yuchen Lin
Radha Poovendran
    ALM
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Papers citing "Stronger Models are NOT Stronger Teachers for Instruction Tuning"

4 / 4 papers shown
Title
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation
Alexandre Misrahi
Nadezhda Chirkova
Maxime Louis
Vassilina Nikoulina
RALM
71
0
0
03 Apr 2025
CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM Wisdom
Yisen Li
Lingfeng Yang
Wenxuan Shen
Pan Zhou
Yao Wan
Weiwei Lin
D. Z. Chen
64
0
0
03 Mar 2025
The Best Instruction-Tuning Data are Those That Fit
The Best Instruction-Tuning Data are Those That Fit
Dylan Zhang
Qirun Dai
Hao Peng
ALM
111
3
0
06 Feb 2025
Smaller Language Models Are Better Instruction Evolvers
Smaller Language Models Are Better Instruction Evolvers
Tingfeng Hui
Lulu Zhao
Guanting Dong
Yaqi Zhang
Hua Zhou
Sen Su
ALM
79
1
0
15 Dec 2024