FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for
Multi-Hop Question Answering

FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering

3 July 2024

Zhifang Sui

Papers citing "FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering"

6 / 6 papers shown

Title
Convert Language Model into a Value-based Strategic Planner Xiaoyu Wang Yue Zhao Qingqing Gu Zhonglin Jiang Xinyu Chen Yong Chen Luo Ji LLMAG 25 0 0 11 May 2025
Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning Jinyuan Wang Junlong Li Hai Zhao LRM ReLM 65 23 0 20 Oct 2023
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 285 2,647 0 06 Oct 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 348 4,209 0 24 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 367 3,398 0 21 Mar 2022
Answering Complex Open-domain Questions Through Iterative Query Generation Peng Qi Xiaowen Lin L. Mehr Zijian Wang Christopher D. Manning RALM ReLM LRM 186 117 0 15 Oct 2019