Parrot Mind: Towards Explaining the Complex Task Reasoning of Pretrained Large Language Models with Template-Content Structure

9 October 2023

Papers citing "Parrot Mind: Towards Explaining the Complex Task Reasoning of Pretrained Large Language Models with Template-Content Structure"

8 / 8 papers shown

Title
Number Cookbook: Number Understanding of Language Models and How to Improve It Haotong Yang Yi Hu Shijia Kang Zhouchen Lin Muhan Zhang LRM 39 2 0 06 Nov 2024
Case-Based or Rule-Based: How Do Transformers Do the Math? Yi Hu Xiaojuan Tang Haotong Yang Muhan Zhang LRM 22 18 0 27 Feb 2024
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation Xinyi Wang Alfonso Amayuelas Kexun Zhang Liangming Pan Wenhu Chen W. Wang LRM 32 11 0 05 Feb 2024
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango Aman Madaan Amir Yazdanbakhsh LRM 130 115 0 16 Sep 2022
Your Transformer May Not be as Powerful as You Expect Shengjie Luo Shanda Li Shuxin Zheng Tie-Yan Liu Liwei Wang Di He 52 50 0 26 May 2022
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 301 11,730 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA Zhengyuan Yang Zhe Gan Jianfeng Wang Xiaowei Hu Yumao Lu Zicheng Liu Lijuan Wang 164 401 0 10 Sep 2021