Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again

Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again

16 March 2022

Bernal Jiménez Gutiérrez

Clay Washington

Huan Sun

Papers citing "Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again"

19 / 19 papers shown

Title
STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach -- A Case Study on Science Domains Chencheng Zhu Kazutaka Shimada Tomoki Taniguchi Tomoko Ohkuma 33 0 0 31 Dec 2024
DiMB-RE: Mining the Scientific Literature for Diet-Microbiome Associations Gibong Hong Veronica Hindle Nadine M. Veasley Hannah D. Holscher Halil Kilicoglu AI4CE 43 0 0 29 Sep 2024
Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models Ye Liu Kai Zhang Aoran Gan Linan Yue Feng Hu Qi Liu Enhong Chen 22 0 0 12 Jul 2024
Surpassing GPT-4 Medical Coding with a Two-Stage Approach Zhichao Yang S. S. Batra Joel Stremmel Eran Halperin ELM 24 5 0 22 Nov 2023
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks Hao Peng Xiaozhi Wang Jianhui Chen Weikai Li Y. Qi ... Zhili Wu Kaisheng Zeng Bin Xu Lei Hou Juanzi Li 28 28 0 15 Nov 2023
Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers S. Chandrasekhar Huang Chieh-Yang Ting-Hao 'Kenneth' Huang 19 2 0 07 Jun 2023
Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction F. Laleye Loïc Rakotoson S. Massip 16 1 0 07 Jun 2023
SciMON: Scientific Inspiration Machines Optimized for Novelty Qingyun Wang Doug Downey Heng Ji Tom Hope LLMAG 26 61 0 23 May 2023
Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning Saibo Geng Martin Josifosky Maxime Peyrard Robert West 34 59 0 23 May 2023
Learning In-context Learning for Named Entity Recognition Jiawei Chen Yaojie Lu Hongyu Lin Jie Lou Wei Jia Dai Dai Hua-Hong Wu Boxi Cao Xianpei Han Le Sun NAI 49 19 0 18 May 2023
VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna Bin Ji 24 13 0 05 May 2023
Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notes Vahan Arsenyan Spartak Bughdaryan Fadi Shaya Kent Small Davit Shahnazaryan 30 10 0 29 Jan 2023
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt Zhichao Yang Sunjae Kwon Zonghai Yao Hongfeng Yu 18 17 0 24 Nov 2022
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining Renqian Luo Liai Sun Yingce Xia Tao Qin Sheng Zhang Hoifung Poon Tie-Yan Liu MedIm AI4CE LM&MA 39 784 0 19 Oct 2022
PolarFly: A Cost-Effective and Flexible Low-Diameter Topology Kartik Lakhotia Maciej Besta Laura Monroe K. Isham Patrick Iff Torsten Hoefler Fabrizio Petrini 26 18 0 02 Aug 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
Constrained Language Models Yield Few-Shot Semantic Parsers Richard Shin C. H. Lin Sam Thomson Charles C. Chen Subhro Roy Emmanouil Antonios Platanios Adam Pauls Dan Klein J. Eisner Benjamin Van Durme 290 198 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
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,918 0 31 Dec 2020