Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration

7 December 2023

Papers citing "Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration"

8 / 8 papers shown

Title
Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting Longyu Feng Mengze Hong Chen Jason Zhang 39 2 0 02 Oct 2024
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models Jio Oh Soyeon Kim Junseok Seo Jindong Wang Ruochen Xu Xing Xie Steven Euijong Whang 36 1 0 08 Mar 2024
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
On the Relation between Sensitivity and Accuracy in In-context Learning Yanda Chen Chen Zhao Zhou Yu Kathleen McKeown He He 180 77 0 16 Sep 2022
Large Language Models are Few-Shot Clinical Information Extractors Monica Agrawal S. Hegselmann Hunter Lang Yoon Kim David Sontag BDL LM&MA 154 327 0 25 May 2022
Can Foundation Models Wrangle Your Data? A. Narayan Ines Chami Laurel J. Orr Simran Arora Christopher Ré LMTD AI4CE 166 212 0 20 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 274 1,114 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 1,296 0 17 Jan 2021