ResearchTrend.AI
Human-AI collectives produce the most accurate differential diagnoses

Human-AI collectives produce the most accurate differential diagnoses

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
ArXivPDFHTML

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
80
11
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
43
2
0
13 Feb 2024
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
S.M. Towhidul Islam Tonmoy
S. M. M. Zaman
Vinija Jain
Anku Rani
Vipula Rawte
Aman Chadha
Amitava Das
HILM
72
193
0
02 Jan 2024
Automatic Chain of Thought Prompting in Large Language Models
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang
Aston Zhang
Mu Li
Alexander J. Smola
ReLM
LRM
98
603
0
07 Oct 2022
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
177
420
0
03 Oct 2022