Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction

17 February 2024

Papers citing "Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction"

9 / 9 papers shown

Title
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities Zhonghao Li Xuming Hu Aiwei Liu Kening Zheng Shijie Huang Hui Xiong RALM 130 8 0 17 Jun 2024
Towards End-to-End Open Conversational Machine Reading Sizhe Zhou Siru Ouyang Zhuosheng Zhang AI Institute LRM 47 2 0 13 Oct 2022
PTR: Prompt Tuning with Rules for Text Classification Xu Han Weilin Zhao Ning Ding Zhiyuan Liu Maosong Sun VLM 84 519 0 24 May 2021
Re-TACRED: Addressing Shortcomings of the TACRED Dataset George Stoica Emmanouil Antonios Platanios Barnabas Poczos 60 115 0 16 Apr 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction Xiang Chen Ningyu Zhang Xin Xie Shumin Deng Yunzhi Yao Chuanqi Tan Fei Huang Luo Si Huajun Chen 71 408 0 15 Apr 2021
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention Ikuya Yamada Akari Asai Hiroyuki Shindo Hideaki Takeda Yuji Matsumoto 74 666 0 02 Oct 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 531 2,639 0 03 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 643 11,979 0 27 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 408 24,160 0 26 Jul 2019