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ItD: Large Language Models Can Teach Themselves Induction through
  Deduction

ItD: Large Language Models Can Teach Themselves Induction through Deduction

9 March 2024
Wangtao Sun
Haotian Xu
Xuanqing Yu
Pei Chen
Shizhu He
Jun Zhao
Kang Liu
    LRM
ArXivPDFHTML

Papers citing "ItD: Large Language Models Can Teach Themselves Induction through Deduction"

8 / 8 papers shown
Title
Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate
Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate
Ziyang Huang
Wangtao Sun
Jun Zhao
Kang Liu
LRM
17
0
0
16 May 2025
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
Xiaotian Lin
Yanlin Qi
Yizhang Zhu
Themis Palpanas
Chengliang Chai
Nan Tang
Yuyu Luo
26
0
0
12 May 2025
RAISE: Reinforenced Adaptive Instruction Selection For Large Language Models
RAISE: Reinforenced Adaptive Instruction Selection For Large Language Models
Lv Qingsong
Yangning Li
Zihua Lan
Zishan Xu
Jiwei Tang
Hai-Tao Zheng
Wenhao Jiang
Wanshi Xu
Philip S. Yu
32
0
0
09 Apr 2025
Shuttle Between the Instructions and the Parameters of Large Language Models
Shuttle Between the Instructions and the Parameters of Large Language Models
Wangtao Sun
Haotian Xu
Huanxuan Liao
Xuanqing Yu
Zhongtao Jiang
Shizhu He
Jun Zhao
Kang Liu
70
0
0
04 Feb 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Yulei Qin
Yuncheng Yang
Pengcheng Guo
Gang Li
Hang Shao
Yuchen Shi
Zihan Xu
Yun Gu
Ke Li
Xing Sun
ALM
96
12
0
31 Dec 2024
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
Jiachun Li
Pengfei Cao
Zhuoran Jin
Yubo Chen
Kang Liu
Jun Zhao
LRM
ELM
40
3
0
12 Oct 2024
Instruction Induction: From Few Examples to Natural Language Task
  Descriptions
Instruction Induction: From Few Examples to Natural Language Task Descriptions
Or Honovich
Uri Shaham
Samuel R. Bowman
Omer Levy
ELM
LRM
120
137
0
22 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
329
3,273
0
21 Mar 2022
1