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From Word Models to World Models: Translating from Natural Language to
  the Probabilistic Language of Thought

From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

22 June 2023
L. Wong
Gabriel Grand
Alexander K. Lew
Noah D. Goodman
Vikash K. Mansinghka
Jacob Andreas
J. Tenenbaum
    LRM
    AI4CE
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Papers citing "From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought"

10 / 10 papers shown
Title
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
Aidan Curtis
Hao Tang
Thiago Veloso
Kevin Ellis
Joshua B. Tenenbaum
Tomás Lozano-Pérez
Leslie Pack Kaelbling
319
0
0
04 May 2025
ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition
ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition
H. A. Alyahya
Haidar Khan
Yazeed Alnumay
M Saiful Bari
B. Yener
LRM
109
2
0
10 Mar 2025
Revisiting Rogers' Paradox in the Context of Human-AI Interaction
Revisiting Rogers' Paradox in the Context of Human-AI Interaction
Katherine M. Collins
Umang Bhatt
Ilia Sucholutsky
114
1
0
16 Jan 2025
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo
Quentin Delfosse
Devendra Singh Dhami
Kristian Kersting
86
5
0
15 Oct 2024
Moral Alignment for LLM Agents
Moral Alignment for LLM Agents
Elizaveta Tennant
Stephen Hailes
Mirco Musolesi
82
5
0
02 Oct 2024
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Zayne Sprague
Fangcong Yin
Juan Diego Rodriguez
Dongwei Jiang
Manya Wadhwa
Prasann Singhal
Xinyu Zhao
Xi Ye
Kyle Mahowald
Greg Durrett
ReLM
LRM
176
114
0
18 Sep 2024
Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind
Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind
Lance Ying
Tan Zhi-Xuan
Lionel Wong
Vikash K. Mansinghka
J. Tenenbaum
82
1
0
21 Aug 2024
Can Large Language Models Understand Symbolic Graphics Programs?
Can Large Language Models Understand Symbolic Graphics Programs?
Zeju Qiu
Weiyang Liu
Haiwen Feng
Zhen Liu
Tim Z. Xiao
Katherine M. Collins
J. Tenenbaum
Adrian Weller
Michael J. Black
Bernhard Schölkopf
103
14
0
15 Aug 2024
People use fast, goal-directed simulation to reason about novel games
People use fast, goal-directed simulation to reason about novel games
Cedegao E. Zhang
Katherine M. Collins
L. Wong
Adrian Weller
Adrian Weller
Joshua B. Tenenbaum
LRM
48
1
0
19 Jul 2024
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
Yu Feng
Ben Zhou
Weidong Lin
Dan Roth
124
5
0
18 Apr 2024
1