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Human-AI collectives produce the most accurate differential diagnoses

Human-AI collectives produce the most accurate differential diagnoses

21 June 2024
N. Zöller
Julian Berger
Irving Lin
Nathan Fu
Jayanth S Komarneni
Gioele Barabucci
Kyle Laskowski
Victor Shia
Benjamin Harack
Eugene A. Chu
V. Trianni
Ralf H. J. M. Kurvers
Stefan M. Herzog
    LM&MA
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Papers citing "Human-AI collectives produce the most accurate differential diagnoses"

5 / 5 papers shown
Title
Hybrid Forecasting of Geopolitical Events
Hybrid Forecasting of Geopolitical Events
Daniel M. Benjamin
Fred Morstatter
Ali E. Abbas
A. Abeliuk
P. Atanasov
...
R. Sosič
Mark Steyvers
Pedro A. Szekely
Michael D. Ward
Aram Galstyan
63
10
0
14 Dec 2024
Combining Insights From Multiple Large Language Models Improves
  Diagnostic Accuracy
Combining Insights From Multiple Large Language Models Improves Diagnostic Accuracy
Gioele Barabucci
Victor Shia
Eugene A. Chu
Benjamin Harack
Nathan Fu
LM&MA
ELM
AI4MH
28
2
0
13 Feb 2024
The Participatory Turn in AI Design: Theoretical Foundations and the
  Current State of Practice
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice
Fernando Delgado
Stephen Yang
Michael A. Madaio
Qian Yang
56
98
0
02 Oct 2023
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
152
298
0
03 Oct 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
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