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

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

7 / 7 papers shown

Title
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Raj Sanjay Shah Sashank Varma LRM 80 0 0 22 Jan 2025
Large Language Models Produce Responses Perceived to be Empathic Yoon Kyung Lee Jina Suh Hongli Zhan Junyi Jessy Li Desmond C. Ong AI4MH 21 18 0 26 Mar 2024
Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models Hongli Zhan Desmond C. Ong Junyi Jessy Li 37 6 0 22 Oct 2023
Generative Agents: Interactive Simulacra of Human Behavior J. Park Joseph C. O'Brien Carrie J. Cai Meredith Ringel Morris Percy Liang Michael S. Bernstein LM&Ro AI4CE 209 1,701 0 07 Apr 2023
Using cognitive psychology to understand GPT-3 Marcel Binz Eric Schulz ELM LLMAG 236 435 0 21 Jun 2022
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 315 8,261 0 28 Jan 2022
Probing Classifiers: Promises, Shortcomings, and Advances Yonatan Belinkov 221 291 0 24 Feb 2021