CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model

28 April 2024

Papers citing "CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model"

5 / 5 papers shown

Title
Large Language Models for Generative Information Extraction: A Survey Derong Xu Wei-neng Chen Wenjun Peng Chao Zhang Tong Bill Xu Xiangyu Zhao Xian Wu Yefeng Zheng Yang Wang Enhong Chen 38 137 0 29 Dec 2023
GPT-RE: In-context Learning for Relation Extraction using Large Language Models Michele Focchi Fei Cheng Zhuoyuan Mao Qianying Liu Haiyue Song Jiwei Li Sadao Kurohashi LRM 36 90 0 03 May 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 301 11,730 0 04 Mar 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 780 0 14 Oct 2021
Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese Zhuosheng Zhang Hanqing Zhang Keming Chen Yuhang Guo Jingyun Hua Yulong Wang Ming Zhou VLM 36 68 0 13 Oct 2021