Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning

11 December 2023

Papers citing "Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning"

7 / 7 papers shown

Title
Causality for Large Language Models Anpeng Wu Kun Kuang Minqin Zhu Yingrong Wang Yujia Zheng Kairong Han Yangqiu Song Guangyi Chen Fei Wu Kun Zhang LRM 48 7 0 20 Oct 2024
Large Language Models and Causal Inference in Collaboration: A Survey Xiaoyu Liu Paiheng Xu Junda Wu Jiaxin Yuan Yifan Yang ... Haoliang Wang Tong Yu Julian McAuley Wei Ai Furong Huang ELM LRM 80 34 0 14 Mar 2024
Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment Congzhi Zhang Linhai Zhang Jialong Wu Deyu Zhou Guoqiang Xu CML AI4CE LRM 44 15 0 05 Mar 2024
A Large Language Model Approach to Educational Survey Feedback Analysis Michael J. Parker Caitlin Anderson Claire Stone YeaRim Oh ELM LM&MA AI4Ed 25 13 0 29 Sep 2023
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 341 3,314 0 21 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 416 8,650 0 28 Jan 2022
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 264 4,505 0 23 Jan 2020