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OntoChatGPT Information System: Ontology-Driven Structured Prompts for
  ChatGPT Meta-Learning

OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning

11 July 2023
O. Palagin
Vladislav Kaverinskiy
Anna Litvin
Kyrylo S. Malakhov
    KELM
ArXivPDFHTML

Papers citing "OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning"

5 / 5 papers shown
Title
Evaluating the Efficacy of Large Language Models in Identifying Phishing
  Attempts
Evaluating the Efficacy of Large Language Models in Identifying Phishing Attempts
Het Patel
Umair Rehman
Farkhund Iqbal
55
4
0
23 Apr 2024
An automatically discovered chain-of-thought prompt generalizes to novel
  models and datasets
An automatically discovered chain-of-thought prompt generalizes to novel models and datasets
Konstantin Hebenstreit
Robert Praas
Louis P. Kiesewetter
Matthias Samwald
LLMAG
LRM
AI4CE
ReLM
74
10
0
04 May 2023
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
331
4,077
0
24 May 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
447
8,699
0
28 Jan 2022
Distributional semantic modeling: a revised technique to train term/word
  vector space models applying the ontology-related approach
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach
O. Palagin
V. Velychko
Kyrylo S. Malakhov
O. Shchurov
13
13
0
06 Mar 2020
1