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Towards Understanding How Machines Can Learn Causal Overhypotheses

Towards Understanding How Machines Can Learn Causal Overhypotheses

16 June 2022
Eliza Kosoy
David M. Chan
Adrian Liu
Jasmine Collins
Bryanna Kaufmann
Sandy Han Huang
Jessica B. Hamrick
John F. Canny
Nan Rosemary Ke
Alison Gopnik
    CML
    AI4CE
ArXivPDFHTML

Papers citing "Towards Understanding How Machines Can Learn Causal Overhypotheses"

13 / 13 papers shown
Title
Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
Anthony GX-Chen
Dongyan Lin
Mandana Samiei
Doina Precup
Blake A. Richards
Rob Fergus
Kenneth Marino
CML
LRM
13
0
0
14 May 2025
Leveraging Large Language Models for Automated Causal Loop Diagram Generation: Enhancing System Dynamics Modeling through Curated Prompting Techniques
Leveraging Large Language Models for Automated Causal Loop Diagram Generation: Enhancing System Dynamics Modeling through Curated Prompting Techniques
Ning-Yuan Georgia Liu
David R. Keith
31
1
0
23 Mar 2025
CogLM: Tracking Cognitive Development of Large Language Models
CogLM: Tracking Cognitive Development of Large Language Models
Xinglin Wang
Peiwen Yuan
Shaoxiong Feng
Yiwei Li
Boyuan Pan
Heda Wang
Yao Hu
Kan Li
ELM
54
0
0
17 Aug 2024
Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language
  Models -- A Survey
Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey
Philipp Mondorf
Barbara Plank
ELM
LRM
LM&MA
28
35
0
02 Apr 2024
AI for social science and social science of AI: A Survey
AI for social science and social science of AI: A Survey
Ruoxi Xu
Yingfei Sun
Mengjie Ren
Shiguang Guo
Ruotong Pan
Hongyu Lin
Le Sun
Xianpei Han
53
44
0
22 Jan 2024
Visual cognition in multimodal large language models
Visual cognition in multimodal large language models
Luca M. Schulze Buschoff
Elif Akata
Matthias Bethge
Eric Schulz
LRM
49
12
0
27 Nov 2023
MoCa: Measuring Human-Language Model Alignment on Causal and Moral
  Judgment Tasks
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks
Allen Nie
Yuhui Zhang
Atharva Amdekar
Chris Piech
Tatsunori Hashimoto
Tobias Gerstenberg
18
33
0
30 Oct 2023
Passive learning of active causal strategies in agents and language
  models
Passive learning of active causal strategies in agents and language models
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Ishita Dasgupta
A. Nam
Jane X. Wang
27
15
0
25 May 2023
Imitation versus Innovation: What children can do that large language
  and language-and-vision models cannot (yet)?
Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)?
Eunice Yiu
Eliza Kosoy
Alison Gopnik
8
13
0
08 May 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for
  Causality
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kıcıman
Robert Osazuwa Ness
Amit Sharma
Chenhao Tan
LRM
ELM
24
258
0
28 Apr 2023
Inducing anxiety in large language models increases exploration and bias
Inducing anxiety in large language models increases exploration and bias
Julian Coda-Forno
Kristin Witte
A. Jagadish
Marcel Binz
Zeynep Akata
Eric Schulz
AI4CE
15
2
0
21 Apr 2023
Using cognitive psychology to understand GPT-3
Using cognitive psychology to understand GPT-3
Marcel Binz
Eric Schulz
ELM
LLMAG
242
434
0
21 Jun 2022
Inductive Biases for Deep Learning of Higher-Level Cognition
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal
Yoshua Bengio
AI4CE
13
343
0
30 Nov 2020
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