Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction

8 October 2023

Papers citing "Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction"

6 / 6 papers shown

Title
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition Yuming Yang Wantong Zhao Caishuang Huang Junjie Ye Xiao Wang ... Kaixin Huang Yunke Zhang Tao Gui Qi Zhang Xuanjing Huang 36 3 0 17 Jun 2024
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction Chengyuan Liu Fubang Zhao Yangyang Kang Jingyuan Zhang Xiang Zhou Changlong Sun Kun Kuang Fei Wu 38 9 0 28 Apr 2023
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! Yubo Ma Yixin Cao YongChing Hong Aixin Sun RALM 80 135 0 15 Mar 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 311 11,915 0 04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,656 0 15 Oct 2021
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 231 156 0 15 Oct 2021