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GPT-ology, Computational Models, Silicon Sampling: How should we think
  about LLMs in Cognitive Science?

GPT-ology, Computational Models, Silicon Sampling: How should we think about LLMs in Cognitive Science?

13 June 2024
Desmond C. Ong
ArXivPDFHTML

Papers citing "GPT-ology, Computational Models, Silicon Sampling: How should we think about LLMs in Cognitive Science?"

7 / 7 papers shown
Title
Personality Traits in Large Language Models
Personality Traits in Large Language Models
Gregory Serapio-García
Mustafa Safdari
Clément Crepy
Luning Sun
Stephen Fitz
P. Romero
Marwa Abdulhai
Aleksandra Faust
Maja J. Matarić
LM&MA
LLMAG
81
120
0
01 Jul 2023
Understanding Social Reasoning in Language Models with Language Models
Understanding Social Reasoning in Language Models with Language Models
Kanishk Gandhi
Jan-Philipp Fränken
Tobias Gerstenberg
Noah D. Goodman
LRM
58
121
0
21 Jun 2023
Inductive reasoning in humans and large language models
Inductive reasoning in humans and large language models
Simon J. Han
Keith Ransom
Andrew Perfors
Charles Kemp
ELM
ReLM
LRM
25
38
0
11 Jun 2023
Out of One, Many: Using Language Models to Simulate Human Samples
Out of One, Many: Using Language Models to Simulate Human Samples
Lisa P. Argyle
Ethan C. Busby
Nancy Fulda
Joshua R Gubler
Christopher Rytting
David Wingate
SyDa
72
576
0
14 Sep 2022
Using Large Language Models to Simulate Multiple Humans and Replicate
  Human Subject Studies
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Gati Aher
RosaI. Arriaga
Adam Tauman Kalai
87
382
0
18 Aug 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
598
9,009
0
28 Jan 2022
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
236
427
0
24 Feb 2021
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