Bio-SIEVE: Exploring Instruction Tuning Large Language Models for
Systematic Review Automation

Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation

12 August 2023

Ambrose Robinson

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Papers citing "Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation"

9 / 9 papers shown

Title
Automated Paper Screening for Clinical Reviews Using Large Language Models Eddie Guo Mehul Gupta Jiawen Deng Ye-Jean Park M. Paget C. Naugler LM&MA ELM 73 78 0 01 May 2023
Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search Shuai Wang Harrisen Scells Bevan Koopman Guido Zuccon 63 24 0 18 Dec 2022
Continuous Active Learning Using Pretrained Transformers Nima Sadri G. Cormack KELM 54 2 0 15 Aug 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 344 1,702 0 15 Oct 2021
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 206 3,750 0 03 Sep 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning Armen Aghajanyan Luke Zettlemoyer Sonal Gupta 101 568 1 22 Dec 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 442 20,181 0 23 Oct 2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang OOD 156 5,659 0 25 Jan 2019
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset Payal Bajaj Daniel Fernando Campos Nick Craswell Li Deng Jianfeng Gao ... Mir Rosenberg Xia Song Alina Stoica Saurabh Tiwary Tong Wang RALM 142 2,728 0 28 Nov 2016

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