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Confidence-weighted integration of human and machine judgments for superior decision-making
v1v2v3 (latest)

Confidence-weighted integration of human and machine judgments for superior decision-making

15 August 2024
Felipe Yánez
Xiaoliang Luo
Omar Valerio Minero
Bradley C. Love
ArXiv (abs)PDFHTMLGithub (81★)

Papers citing "Confidence-weighted integration of human and machine judgments for superior decision-making"

13 / 13 papers shown
Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies
Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies
Xiaoliang Luo
Xinyi Xu
Michael Ramscar
Bradley C. Love
443
0
0
13 May 2025
Complementarity in Human-AI Collaboration: Concept, Sources, and
  Evidence
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence
Patrick Hemmer
Max Schemmer
Niklas Kühl
Michael Vossing
G. Satzger
419
59
0
21 Mar 2024
Large language models surpass human experts in predicting neuroscience
  results
Large language models surpass human experts in predicting neuroscience results
Xiaoliang Luo
Akilles Rechardt
Guangzhi Sun
Kevin K. Nejad
Felipe Y´a˜nez
...
Anna Behler
Chloe M. Hall
J. Dafflon
Sherry Dongqi Bao
Bradley C. Love
317
138
0
04 Mar 2024
Llama 2: Open Foundation and Fine-Tuned Chat Models
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
AI4MHALM
12.1K
16,310
0
18 Jul 2023
Benchmarking Large Language Models for News Summarization
Benchmarking Large Language Models for News SummarizationTransactions of the Association for Computational Linguistics (TACL), 2023
Tianyi Zhang
Faisal Ladhak
Esin Durmus
Abigail Z. Jacobs
Kathleen McKeown
Tatsunori B. Hashimoto
ELM
442
747
0
31 Jan 2023
Language Models are Few-Shot Learners
Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
2.3K
55,939
0
28 May 2020
Pyro: Deep Universal Probabilistic Programming
Pyro: Deep Universal Probabilistic Programming
Eli Bingham
Jonathan P. Chen
M. Jankowiak
F. Obermeyer
Neeraj Pradhan
Theofanis Karaletsos
Rohit Singh
Paul A. Szerlip
Paul Horsfall
Noah D. Goodman
BDLGP
458
1,239
0
18 Oct 2018
Generalisation in humans and deep neural networks
Generalisation in humans and deep neural networks
Robert Geirhos
Carlos R. Medina Temme
Jonas Rauber
Heiko H. Schutt
Matthias Bethge
Felix Wichmann
OOD
499
668
0
27 Aug 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2016
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
2.2K
42,297
0
25 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
4.2K
224,064
0
10 Dec 2015
Going Deeper with Convolutions
Going Deeper with ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2014
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
4.2K
46,879
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014
Karen Simonyan
Andrew Zisserman
FAttMDE
4.0K
110,317
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision (IJCV), 2014
Olga Russakovsky
Gaowen Liu
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
3.7K
42,221
0
01 Sep 2014
1
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