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References (41)

[1]
Latent Chain-of-Thought as Planning: Decoupling Reasoning from Verbalization
2026Jiecong Wang, Hao Peng et al.
[2]
Mini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech Models
2025Zhifei Xie, Ziyang Ma et al.
[3]
Learning to Insert [PAUSE] Tokens for Better Reasoning
2025Eunki Kim, Sangryul Kim et al.
[4]
Plasticity as the Mirror of Empowerment
2025David Abel, Michael Bowling et al.
[5]
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
2023Shunyu Yao, Dian Yu et al.
[6]
Mastering Diverse Domains through World Models
2023Danijar Hafner, J. Pašukonis et al.
[7]
A Path Towards Autonomous Machine Intelligence Version 0.9.2, 2022-06-27
2022Yann LeCun, Courant
[8]
Reward is enough
2021David Silver, Satinder Singh et al.
[9]
PonderNet: Learning to Ponder
2021Andrea Banino, Jan Balaguer et al.
[10]
Carbon Emissions and Large Neural Network Training
2021David A. Patterson, Joseph Gonzalez et al.
[11]
Exploration by Random Network Distillation
2018Yuri Burda, Harrison Edwards et al.
[12]
Building Machines that Learn and Think Like People
2018J. Tenenbaum
[13]
World Models
2018David R Ha, J. Schmidhuber
[14]
Learning to select computations
2017Falk Lieder, Frederick Callaway et al.
[15]
With or without you: predictive coding and Bayesian inference in the brain.
2017L. Aitchison, M. Lengyel
[16]
Curiosity-Driven Exploration by Self-Supervised Prediction
2017Deepak Pathak, Pulkit Agrawal et al.
[17]
Adaptive Computation Time for Recurrent Neural Networks
2016Alex Graves
[18]
Changing the Environment Based on Empowerment as Intrinsic Motivation
2014Christoph Salge, C. Glackin et al.
[19]
A measure of intelligence
2012A. Tate
[20]
Representation Learning: A Review and New Perspectives
2012Yoshua Bengio, Aaron C. Courville et al.

Showing 20 of 41 references

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