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Assertion Detection Large Language Model In-context Learning LoRA
  Fine-tuning

Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning

31 January 2024
Yuelyu Ji
Zeshui Yu
Yanshan Wang
ArXivPDFHTML

Papers citing "Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning"

4 / 4 papers shown
Title
In-context Learning and Induction Heads
In-context Learning and Induction Heads
Catherine Olsson
Nelson Elhage
Neel Nanda
Nicholas Joseph
Nova Dassarma
...
Tom B. Brown
Jack Clark
Jared Kaplan
Sam McCandlish
C. Olah
303
509
0
24 Sep 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
626
9,267
0
28 Jan 2022
An Open Natural Language Processing Development Framework for EHR-based
  Clinical Research: A case demonstration using the National COVID Cohort
  Collaborative (N3C)
An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)
Sijia Liu
Andrew Wen
Liwei Wang
Huan He
S. Fu
...
Hongfang Liu
National Covid Cohort Collaborative Natural Language Proces Subgroup
Natural Language Processing
Subgroup
National Covid Cohort Collaborative
20
10
0
20 Oct 2021
Launching into clinical space with medspaCy: a new clinical text
  processing toolkit in Python
Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python
Hannah Eyre
Alec B. Chapman
Kelly S. Peterson
Jianlin Shi
Patrick R. Alba
Makoto M. Jones
T. Box
S. Duvall
Performance Integration
34
78
0
14 Jun 2021
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