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LLMs-as-Instructors: Learning from Errors Toward Automating Model
  Improvement

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement

29 June 2024
Jiahao Ying
Mingbao Lin
Yixin Cao
Wei Tang
Bo Wang
Qianru Sun
Xuanjing Huang
Shuicheng Yan
    LRM
ArXivPDFHTML

Papers citing "LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement"

2 / 2 papers shown
Title
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
Huanxuan Liao
Shizhu He
Yao Xu
Yuanzhe Zhang
Kang Liu
Jun Zhao
LRM
53
3
0
20 Sep 2024
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Nicholas Lee
Thanakul Wattanawong
Sehoon Kim
K. Mangalam
Sheng Shen
Gopala Anumanchipalli
Michael W. Mahoney
Kurt Keutzer
A. Gholami
61
46
0
22 Mar 2024
1