Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation
Extraction

Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction

10 November 2023

Papers citing "Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction"

10 / 10 papers shown

Title
AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models Mansi Pranshu Pandya Mahek Bhavesh Vora Soumya Bharadwaj Ashish Anand 29 0 0 31 Dec 2024
DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction Yiheng Wu Roman Yangarber Xian Mao 28 0 0 07 Sep 2024
PGA-SciRE: Harnessing LLM on Data Augmentation for Enhancing Scientific Relation Extraction Yang Zhou Shimin Shan Hongkui Wei Zhehuan Zhao Wenshuo Feng 34 1 0 30 May 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors Guozheng Li Peng Wang Jiajun Liu Yikai Guo Ke Ji Ziyu Shang Zijie Xu LRM 33 7 0 27 Apr 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 307 4,084 0 24 May 2022
Instruction Induction: From Few Examples to Natural Language Task Descriptions Or Honovich Uri Shaham Samuel R. Bowman Omer Levy ELM LRM 112 136 0 22 May 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 277 1,120 0 18 Apr 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
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification Tianyu Gao Xu Han Hao Zhu Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 203 244 0 16 Oct 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 408 2,584 0 03 Sep 2019