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Framework-Based Qualitative Analysis of Free Responses of Large Language
  Models: Algorithmic Fidelity

Framework-Based Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity

6 September 2023
A. Amirova
T. Fteropoulli
Nafiso Ahmed
Martin R. Cowie
Joel Z Leibo
ArXivPDFHTML

Papers citing "Framework-Based Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity"

7 / 7 papers shown
Title
Generative agent-based modeling with actions grounded in physical,
  social, or digital space using Concordia
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
A. Vezhnevets
J. Agapiou
Avia Aharon
Ron Ziv
Jayd Matyas
Edgar A. Duénez-Guzmán
William A. Cunningham
Simon Osindero
Danny Karmon
Joel Z Leibo
LLMAG
LM&Ro
AI4CE
40
41
0
06 Dec 2023
Generative Agents: Interactive Simulacra of Human Behavior
Generative Agents: Interactive Simulacra of Human Behavior
J. Park
Joseph C. O'Brien
Carrie J. Cai
Meredith Ringel Morris
Percy Liang
Michael S. Bernstein
LM&Ro
AI4CE
232
1,754
0
07 Apr 2023
Improving alignment of dialogue agents via targeted human judgements
Improving alignment of dialogue agents via targeted human judgements
Amelia Glaese
Nat McAleese
Maja Trkebacz
John Aslanides
Vlad Firoiu
...
John F. J. Mellor
Demis Hassabis
Koray Kavukcuoglu
Lisa Anne Hendricks
G. Irving
ALM
AAML
227
506
0
28 Sep 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
339
12,003
0
04 Mar 2022
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting
  Pot
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z Leibo
Edgar A. Duénez-Guzmán
A. Vezhnevets
J. Agapiou
P. Sunehag
Raphael Köster
Jayd Matyas
Charlie Beattie
Igor Mordatch
T. Graepel
OffRL
58
103
0
14 Jul 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
282
1,996
0
31 Dec 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
326
4,223
0
23 Aug 2019
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