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Report NEP-AIN-2025-02-03
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:
- Simon Martin & Hans-Theo Normann & Paul Puplichhuisen & Tobias Werner, 2025, "The Spoils of Algorithmic Collusion: Profit Allocation Among Asymmetric Firms," Papers, arXiv.org, number 2501.07178, Jan.
- Connor Douglas & Foster Provost & Arun Sundararajan, 2024, "The Illusion of Collusion," Papers, arXiv.org, number 2411.16574, Nov, revised Mar 2026.
- Jason D. Hartline & Chang Wang & Chenhao Zhang, 2025, "Regulation of Algorithmic Collusion, Refined: Testing Pessimistic Calibrated Regret," Papers, arXiv.org, number 2501.09740, Jan.
- Augusto Gonzalez-Bonorino & Monica Capra & Emilio Pantoja, 2025, "LLMs Model Non-WEIRD Populations: Experiments with Synthetic Cultural Agents," Papers, arXiv.org, number 2501.06834, Jan.
- Paolo Carioli & Dirk Czarnitzki & Gastón P Fernández Barros, 2024, "Evidence on the Adoption of Artificial Intelligence: The Role of Skills Shortage," Working Papers of Department of Economics, Leuven, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven, number 735893, Feb.
- Casey O. Barkan, 2024, "Can an increase in productivity cause a decrease in production? Insights from a model economy with AI automation," Papers, arXiv.org, number 2411.15718, Nov.
- Payal Malik & Nikita Jain & Shiva Kanwar & Bhargavee Das & Saloni Dhadwal, 2025, "AI Markets and Competition in India," Indian Council for Research on International Economic Relations (ICRIER) Report, Indian Council for Research on International Economic Relations (ICRIER), New Delhi, India, number 25-r-01, Jan.
- Kuan-Ming Liu & Ming-Chih Lo, 2025, "LLM-Based Routing in Mixture of Experts: A Novel Framework for Trading," Papers, arXiv.org, number 2501.09636, Jan, revised Jan 2025.
- Jerick Shi & Burton Hollifield, 2024, "Predictive Power of LLMs in Financial Markets," Papers, arXiv.org, number 2411.16569, Nov.
- Robert Novy-Marx & Mihail Z. Velikov, 2025, "AI-Powered (Finance) Scholarship," NBER Working Papers, National Bureau of Economic Research, Inc, number 33363, Jan.
- Bryan T. Kelly & Boris Kuznetsov & Semyon Malamud & Teng Andrea Xu, 2025, "Artificial Intelligence Asset Pricing Models," NBER Working Papers, National Bureau of Economic Research, Inc, number 33351, Jan.
- Aaron Wheeler & Jeffrey D. Varner, 2024, "MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series," Papers, arXiv.org, number 2411.16585, Nov.
- Paolo Barucca & Flaviano Morone, 2025, "How low-cost AI universal approximators reshape market efficiency," Papers, arXiv.org, number 2501.07489, Jan.