Is There a One-Model-Fits-All Approach to Information Extraction?
Revisiting Task Definition Biases

Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases

25 March 2024

Zhixu Li

Yanghua Xiao

Papers citing "Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases"

4 / 4 papers shown

Title
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models Kaushal Kumar Maurya KV Aditya Srivatsa Ekaterina Kochmar 40 2 0 16 Aug 2024
Retrieval-Augmented Code Generation for Universal Information Extraction Yucan Guo Zixuan Li Xiaolong Jin Yantao Liu Yutao Zeng ... Xiang Li Pan Yang Long Bai J. Guo Xueqi Cheng 103 31 0 06 Nov 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 328 4,077 0 24 May 2022
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 339 12,003 0 04 Mar 2022