ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.08032
  4. Cited By
Using Artificial Populations to Study Psychological Phenomena in Neural
  Models

Using Artificial Populations to Study Psychological Phenomena in Neural Models

15 August 2023
Jesse Roberts
Kyle Moore
Drew Wilenzick
Doug Fisher
ArXivPDFHTML

Papers citing "Using Artificial Populations to Study Psychological Phenomena in Neural Models"

11 / 11 papers shown
Title
A Framework for Robust Cognitive Evaluation of LLMs
A Framework for Robust Cognitive Evaluation of LLMs
Karin de Langis
J. Park
Bin Hu
Khanh Chi Le
Andreas Schramm
Michael C. Mensink
Andrew Elfenbein
Dongyeop Kang
26
0
0
03 Apr 2025
Investigating Human-Aligned Large Language Model Uncertainty
Investigating Human-Aligned Large Language Model Uncertainty
Kyle Moore
Jesse Roberts
Daryl Watson
Pamela Wisniewski
46
0
0
16 Mar 2025
Basic Category Usage in Vision Language Models
Basic Category Usage in Vision Language Models
Hunter Sawyer
Jesse Roberts
Kyle Moore
VLM
46
0
0
16 Mar 2025
Large Language Model Recall Uncertainty is Modulated by the Fan Effect
Large Language Model Recall Uncertainty is Modulated by the Fan Effect
Jesse Roberts
Kyle Moore
Thao Pham
Oseremhen Ewaleifoh
Doug Fisher
31
3
0
08 Jul 2024
The Base-Rate Effect on LLM Benchmark Performance: Disambiguating
  Test-Taking Strategies from Benchmark Performance
The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance
Kyle Moore
Jesse Roberts
Thao Pham
Oseremhen Ewaleifoh
Doug Fisher
26
2
0
17 Jun 2024
Do Large Language Models Learn Human-Like Strategic Preferences?
Do Large Language Models Learn Human-Like Strategic Preferences?
Jesse Roberts
Kyle Moore
Douglas H. Fisher
16
5
0
11 Apr 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
200
2,232
0
22 Mar 2023
Using cognitive psychology to understand GPT-3
Using cognitive psychology to understand GPT-3
Marcel Binz
Eric Schulz
ELM
LLMAG
236
435
0
21 Jun 2022
Structural Persistence in Language Models: Priming as a Window into
  Abstract Language Representations
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations
Arabella J. Sinclair
Jaap Jumelet
Willem H. Zuidema
Raquel Fernández
42
37
0
30 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1