From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with
Small Language Models

From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models

12 November 2023

Chengyu Wang

Wei Zhang

Papers citing "From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models"

7 / 7 papers shown

Title
Training Small Reasoning LLMs with Cognitive Preference Alignment Wenrui Cai Chengyu Wang Junbing Yan Jun Huang Xiangzhong Fang LRM 26 1 0 14 Apr 2025
A Short Survey on Small Reasoning Models: Training, Inference, Applications and Research Directions Chengyu Wang Taolin Zhang Richang Hong Jun Huang ReLM LRM 45 1 0 12 Apr 2025
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future Zheng Chu Jingchang Chen Qianglong Chen Weijiang Yu Tao He Haotian Wang Weihua Peng Ming-Yu Liu Bing Qin Ting Liu LRM AI4CE 31 151 0 27 Sep 2023
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning Jiadong Wang Chengyu Wang Chuanqi Tan Jun Huang Ming Gao KELM 34 4 0 26 Sep 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 322 11,953 0 04 Mar 2022
Explaining Answers with Entailment Trees Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Zhengnan Xie Hannah Smith Leighanna Pipatanangkura Peter Clark ReLM FAtt LRM 239 184 0 17 Apr 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 261 4,489 0 23 Jan 2020