HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation

14 February 2024

Papers citing "HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation"

7 / 7 papers shown

Title
From Matching to Generation: A Survey on Generative Information Retrieval Xiaoxi Li Jiajie Jin Yujia Zhou Yuyao Zhang Peitian Zhang Yutao Zhu Zhicheng Dou 3DV 84 46 0 23 Apr 2024
Why LLMs Hallucinate, and How to Get (Evidential) Closure: Perceptual, Intensional, and Extensional Learning for Faithful Natural Language Generation Adam Bouyamourn 108 15 0 23 Oct 2023
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text Wangchunshu Zhou Yuchen Eleanor Jiang Peng Cui Tiannan Wang Zhenxin Xiao Yifan Hou Ryan Cotterell Mrinmaya Sachan RALM LLMAG 87 59 0 22 May 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 255 2,494 0 06 Oct 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 314 3,248 0 21 Mar 2022
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021
Answering Open-Domain Questions of Varying Reasoning Steps from Text Peng Qi Haejun Lee OghenetegiriTGSido Christopher D. Manning KELM RALM LRM 191 55 0 23 Oct 2020