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Knowledge Graph Structure as Prompt: Improving Small Language Models
  Capabilities for Knowledge-based Causal Discovery

Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery

26 July 2024
Yuni Susanti
Michael Färber
ArXivPDFHTML

Papers citing "Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery"

4 / 4 papers shown
Title
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
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
275
3,784
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
248
1,382
0
21 Jan 2020
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