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A comparative study of zero-shot inference with large language models
  and supervised modeling in breast cancer pathology classification

A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification

25 January 2024
Madhumita Sushil
T. Zack
Divneet Mandair
Zhiwei Zheng
Ahmed Wali
Yan-Ning Yu
Yuwei Quan
A. Butte
ArXivPDFHTML

Papers citing "A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification"

4 / 4 papers shown
Title
LLM-based Semantic Augmentation for Harmful Content Detection
LLM-based Semantic Augmentation for Harmful Content Detection
Elyas Meguellati
Assaad Zeghina
S. Sadiq
Gianluca Demartini
32
0
0
22 Apr 2025
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Yassine Habchi
Hamza Kheddar
Yassine Himeur
Adel Belouchrani
Erchin Serpedin
Fouad Khelifi
Muhammad E.H. Chowdhury
LM&MA
41
0
0
30 Mar 2025
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
154
327
0
25 May 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
4,048
0
24 May 2022
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