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The potential of large language models for improving probability
  learning: A study on ChatGPT3.5 and first-year computer engineering students

The potential of large language models for improving probability learning: A study on ChatGPT3.5 and first-year computer engineering students

9 October 2023
Angel Udias
A. Alonso-Ayuso
Ignacio Sanchez
Sonia Hernandez
Maria Eugenia Castellanos
R. M. Diez
Emilio Lopez Cano
ArXivPDFHTML

Papers citing "The potential of large language models for improving probability learning: A study on ChatGPT3.5 and first-year computer engineering students"

3 / 3 papers shown
Title
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
267
2,510
0
06 Oct 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
328
4,077
0
24 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
339
12,003
0
04 Mar 2022
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