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Deep de Finetti: Recovering Topic Distributions from Large Language Models

Deep de Finetti: Recovering Topic Distributions from Large Language Models

Liyi Zhang
R. Thomas McCoy
T. Sumers
Jian-Qiao Zhu
Thomas Griffiths
    BDL
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Papers citing "Deep de Finetti: Recovering Topic Distributions from Large Language Models"

5 / 5 papers shown
Title
Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis
Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis
Alexander Ku
Declan Campbell
Xuechunzi Bai
Jiayi Geng
Ryan Liu
...
Ilia Sucholutsky
Veniamin Veselovsky
Liyi Zhang
Jian-Qiao Zhu
Thomas L. Griffiths
ELM
149
4
0
17 Mar 2025
Eliciting the Priors of Large Language Models using Iterated In-Context Learning
Eliciting the Priors of Large Language Models using Iterated In-Context Learning
Jian-Qiao Zhu
Thomas Griffiths
BDL
79
10
0
04 Jun 2024
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
Fabian Falck
Ziyu Wang
Chris Holmes
147
20
0
02 Jun 2024
Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo
Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo
Jian-Qiao Zhu
Haijiang Yan
Thomas Griffiths
48
3
0
30 Jan 2024
Incoherent Probability Judgments in Large Language Models
Incoherent Probability Judgments in Large Language Models
Jian-Qiao Zhu
Thomas Griffiths
160
8
0
30 Jan 2024

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