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Good Data, Large Data, or No Data? Comparing Three Approaches in
  Developing Research Aspect Classifiers for Biomedical Papers

Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers

7 June 2023
S. Chandrasekhar
Huang Chieh-Yang
Ting-Hao 'Kenneth' Huang
ArXivPDFHTML

Papers citing "Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers"

3 / 3 papers shown
Title
If in a Crowdsourced Data Annotation Pipeline, a GPT-4
If in a Crowdsourced Data Annotation Pipeline, a GPT-4
Zeyu He
Huang Chieh-Yang
C. C. Ding
Shaurya Rohatgi
Ting-Hao 'Kenneth' Huang
18
30
0
26 Feb 2024
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in
  Closed-Source LLMs
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs
Simone Balloccu
Patrícia Schmidtová
Mateusz Lango
Ondrej Dusek
SILM
ELM
PILM
13
152
0
06 Feb 2024
Large Language Models are Few-Shot Clinical Information Extractors
Large Language Models are Few-Shot Clinical Information Extractors
Monica Agrawal
S. Hegselmann
Hunter Lang
Yoon Kim
David Sontag
BDL
LM&MA
146
327
0
25 May 2022
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