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2401.16646
Cited By
Incoherent Probability Judgments in Large Language Models
30 January 2024
Jian-Qiao Zhu
Thomas Griffiths
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Papers citing
"Incoherent Probability Judgments in Large Language Models"
18 / 18 papers shown
Title
Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems
Jiayi Geng
Howard Chen
Dilip Arumugam
Thomas L. Griffiths
85
0
0
23 May 2025
Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models
Liyi Zhang
Veniamin Veselovsky
R. Thomas McCoy
Thomas Griffiths
78
0
0
17 Apr 2025
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
132
4
0
17 Mar 2025
LLM Agents Display Human Biases but Exhibit Distinct Learning Patterns
Idan Horowitz
Ori Plonsky
97
0
0
13 Mar 2025
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Ryan Liu
Jiayi Geng
Addison J. Wu
Ilia Sucholutsky
Tania Lombrozo
Thomas Griffiths
ReLM
LRM
106
32
0
27 Oct 2024
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
Jian-Qiao Zhu
Haijiang Yan
Thomas Griffiths
111
2
0
29 May 2024
Deep de Finetti: Recovering Topic Distributions from Large Language Models
Liyi Zhang
R. Thomas McCoy
T. Sumers
Jian-Qiao Zhu
Thomas Griffiths
BDL
66
7
0
21 Dec 2023
Bayes in the age of intelligent machines
Thomas Griffiths
Jian-Qiao Zhu
Erin Grant
R. Thomas McCoy
AI4CE
65
19
0
16 Nov 2023
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation
Vaishnavi Shrivastava
Percy Liang
Ananya Kumar
71
30
0
15 Nov 2023
Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve
R. Thomas McCoy
Shunyu Yao
Dan Friedman
Matthew Hardy
Thomas Griffiths
49
156
0
24 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
299
11,858
0
18 Jul 2023
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
1.4K
14,359
0
15 Mar 2023
Using cognitive psychology to understand GPT-3
Marcel Binz
Eric Schulz
ELM
LLMAG
331
477
0
21 Jun 2022
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie
Aditi Raghunathan
Percy Liang
Tengyu Ma
ReLM
BDL
VPVLM
LRM
195
751
0
03 Nov 2021
Verified Uncertainty Calibration
Ananya Kumar
Percy Liang
Tengyu Ma
164
356
0
23 Sep 2019
BRUNO: A Deep Recurrent Model for Exchangeable Data
I. Korshunova
Jonas Degrave
Ferenc Huszár
Y. Gal
Arthur Gretton
J. Dambre
BDL
47
33
0
21 Feb 2018
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
701
131,652
0
12 Jun 2017
Surprisingly Rational: Probability theory plus noise explains biases in judgment
F. Costello
P. Watts
56
120
0
01 Nov 2012
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