ItD: Large Language Models Can Teach Themselves Induction through
Deduction

ItD: Large Language Models Can Teach Themselves Induction through Deduction

9 March 2024

Jun Zhao

Kang Liu

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

5 / 5 papers shown

Title
VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models Wangtao Sun Haotian Xu Huanxuan Liao Xuanqing Yu Zhongtao Jiang Shizhu He Jun Zhao Kang Liu 53 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 Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 81 11 0 31 Dec 2024
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models Jiachun Li Pengfei Cao Zhuoran Jin Yubo Chen Kang-Jun Liu Jun Zhao LRM ELM 32 4 0 12 Oct 2024
Instruction Induction: From Few Examples to Natural Language Task Descriptions Or Honovich Uri Shaham Samuel R. Bowman Omer Levy ELM LRM 107 133 0 22 May 2022
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 297 3,163 0 21 Mar 2022