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Report NEP-AIN-2024-04-15
This is the archive for NEP-AIN, a report on new working papers in the area of Artificial Intelligence. Ben Greiner issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-AIN
The following items were announced in this report:
- Valerio Capraro & Roberto Di Paolo & Matjaz Perc & Veronica Pizziol, 2024, "Language-based game theory in the age of artificial intelligence," Papers, arXiv.org, number 2403.08944, Mar.
- Anton Korinek & Donghyun Suh, 2024, "Scenarios for the Transition to AGI," NBER Working Papers, National Bureau of Economic Research, Inc, number 32255, Mar.
- Charles Hoffreumon & Chris CM Forman & Nicolas van Zeebroeck, 2024, "Make or buy your artificial intelligence? Complementarities in technology sourcing," ULB Institutional Repository, ULB -- Universite Libre de Bruxelles, number 2013/369623, Mar.
- Mario Passalacqua & Robert Pellerin & Esma Yahia & Florian Magnani & Frédéric Rosin & Laurent Joblot & Pierre-Majorique Léger, 2024, "Practice With Less AI Makes Perfect: Partially Automated AI During Training Leads to Better Worker Motivation, Engagement, and Skill Acquisition," Post-Print, HAL, number hal-04487695, Mar, DOI: 10.1080/10447318.2024.2319914.
- Junyi Ye & Bhaskar Goswami & Jingyi Gu & Ajim Uddin & Guiling Wang, 2024, "From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing," Papers, arXiv.org, number 2403.06779, Mar.