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Thought Flow Nets: From Single Predictions to Trains of Model Thought

Thought Flow Nets: From Single Predictions to Trains of Model Thought

26 July 2021
Hendrik Schuff
Heike Adel
Ngoc Thang Vu
    AIFin
    LRM
ArXivPDFHTML

Papers citing "Thought Flow Nets: From Single Predictions to Trains of Model Thought"

3 / 3 papers shown
Title
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
447
8,699
0
28 Jan 2022
PonderNet: Learning to Ponder
PonderNet: Learning to Ponder
Andrea Banino
Jan Balaguer
Charles Blundell
PINN
AIMat
102
80
0
12 Jul 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
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