Recall, Retrieve and Reason: Towards Better In-Context Relation
Extraction

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction

27 April 2024

Papers citing "Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction"

10 / 10 papers shown

Title
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities Zhonghao Li Xuming Hu Aiwei Liu Kening Zheng S. Huang Hui Xiong RALM 115 8 0 17 Jun 2024
Revisiting Large Language Models as Zero-shot Relation Extractors Guozheng Li Peng Wang Wenjun Ke KELM LRM ReLM 50 26 0 08 Oct 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
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
Ask Me Anything: A simple strategy for prompting language models Simran Arora A. Narayan Mayee F. Chen Laurel J. Orr Neel Guha Kush S. Bhatia Ines Chami Frederic Sala Christopher Ré ReLM LRM 206 206 0 05 Oct 2022
Large Language Models are Few-Shot Clinical Information Extractors Monica Agrawal S. Hegselmann Hunter Lang Yoon Kim David Sontag BDL LM&MA 156 332 0 25 May 2022
DeepStruct: Pretraining of Language Models for Structure Prediction Chenguang Wang Xiao Liu Zui Chen Haoyun Hong Jie Tang Dawn Song 212 66 0 21 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,448 0 28 Jan 2022
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 221 156 0 15 Oct 2021
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