CodeIE: Large Code Generation Models are Better Few-Shot Information
Extractors

CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

9 May 2023

Tianxiang Sun

Xuanjing Huang

Papers citing "CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors"

9 / 9 papers shown

Title
RUIE: Retrieval-based Unified Information Extraction using Large Language Model Xincheng Liao Junwen Duan Yixi Huang Jianxin Wang 45 1 0 18 Sep 2024
Large Language Models Meet NLP: A Survey Libo Qin Qiguang Chen Xiachong Feng Yang Wu Yongheng Zhang Hai-Tao Zheng Min Li Wanxiang Che Philip S. Yu ALM LM&MA ELM LRM 52 47 0 21 May 2024
ADELIE: Aligning Large Language Models on Information Extraction Y. Qi Hao Peng Xiaozhi Wang Bin Xu Lei Hou Juanzi Li 36 7 0 08 May 2024
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction Qingyun Wang Zixuan Zhang Hongxiang Li Xuan Liu Jiawei Han Huimin Zhao Heng Ji 49 1 0 18 Jan 2024
Binding Language Models in Symbolic Languages Zhoujun Cheng Tianbao Xie Peng Shi Chengzu Li Rahul Nadkarni ... Dragomir R. Radev Mari Ostendorf Luke Zettlemoyer Noah A. Smith Tao Yu LMTD 119 198 0 06 Oct 2022
A Survey on Open Information Extraction from Rule-based Model to Large Language Model Pai Liu Wenya Gao Wenjie Dong Lin Ai Wen Dong Songfang Huang Zongsheng Li Ehsan Hoque Julia Hirschberg Yue Zhang 37 2 0 18 Aug 2022
Large Language Models are Few-Shot Clinical Information Extractors Monica Agrawal S. Hegselmann Hunter Lang Yoon Kim David Sontag BDL LM&MA 164 334 0 25 May 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 235 1,489 0 02 Sep 2021
A Frustratingly Easy Approach for Entity and Relation Extraction Zexuan Zhong Danqi Chen 162 108 0 24 Oct 2020