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The advent of generative AI (GenAI) technology produces transformative impact on the content creation landscape, offering alternative approaches to produce diverse, high-quality content across media, thereby reshaping online ecosystems but also raising concerns about market over-saturation and the potential marginalization of human creativity.
Equilibrium points in n-person games
John F Nash Jr · 1950
Earlier work this paper cites.
A social equilibrium existence theorem
Gerard Debreu · 1952
Earlier work this paper cites.
Fixed-point and minimax theorems in locally convex topological linear spaces
Ky Fan · 1952
Earlier work this paper cites.
A further generalization of the kakutani fixed theorem, with application to nash equilibrium points
Irving L Glicksberg · 1952
Earlier work this paper cites.
Existence and uniqueness of equilibrium points for concave n-person games
J Ben Rosen · 1965
Earlier work this paper cites.
Efficient rent seeking
Gordon Tullock · 1980
Earlier work this paper cites.
A general analysis of rent-seeking games
J David Pérez-Castrillo and Thierry Verdier · 1992
Earlier work this paper cites.
Public choice III
Dennis C Mueller · 2003
Earlier work this paper cites.
The economic design of sporting contests
Stefan Szymanski · 2003
Earlier work this paper cites.
Asymmetric contests with general technologies
Richard Cornes and Roger Hartley · 2005
Earlier work this paper cites.
On the convergence of regret minimization dynamics in concave games
Eyal Even-Dar, Yishay Mansour, and Uri Nadav · 2009
Earlier work this paper cites.
A generalized tullock contest
Subhasish M Chowdhury and Roman M Sheremeta · 2011
Earlier work this paper cites.
An attraction–selection–attrition theory of online community size and resilience
Brian S Butler, Patrick J Bateman, Peter H Gray, and E Ilana Diamant · 2014
Earlier work this paper cites.
A survey of experimental research on contests, all-pay auctions and tournaments
Emmanuel Dechenaux, Dan Kovenock, and Roman M Sheremeta · 2015
Earlier work this paper cites.
Mixed equilibria in tullock contests
Christian Ewerhart · 2015
Earlier work this paper cites.
Theory of cost and production functions
Ronald William Shephard · 2015
Earlier work this paper cites.
Shapley facility location games
Omer Ben-Porat and Moshe Tennenholtz · 2017
Earlier work this paper cites.
The lottery contest is a best-response potential game
Christian Ewerhart · 2017
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A game-theoretic approach to recommendation systems with strategic content providers
Omer Ben-Porat and Moshe Tennenholtz · 2018
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Bandit learning in concave n-person games
Mario Bravo, David Leslie, and Panayotis Mertikopoulos · 2018
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Content provider dynamics and coordination in recommendation ecosystems
Omer Ben-Porat, Itay Rosenberg, and Moshe Tennenholtz · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Large language models suffer from their own output: An analysis of the self-consuming training loop
Martin Briesch, Dominik Sobania, and Franz Rothlauf · 2023
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Doubly optimal no-regret learning in monotone games
Yang Cai and Weiqiang Zheng · 2023
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Generative ai enhances individual creativity but reduces the collective diversity of novel content
Anil R Doshi and Oliver Hauser · 2023
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Art and the science of generative ai
Ziv Epstein, Aaron Hertzmann, Investigators of Human Creativity, Memo Akten, Hany Farid, Jessica Fjeld, Morgan R Frank, Matthew Groh, Laura Herman, Neil Leach, et al · 2023
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Bitcoin: An axiomatic approach and an impossibility theorem
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Gresham’s law
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