Report NEP-AIN-2025-11-24
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:
- Anais Galdin & Jesse Silbert, 2025. "Making Talk Cheap: Generative AI and Labor Market Signaling," Papers 2511.08785, arXiv.org.
- Athina Karvounaraki & Alexis Stevenson & Isabelle Labrosse & David Campbell & Henrik Karlstrøm & Eric Iversen & Lili Wang & Ad Notten, 2025. "The Use of Generative Artificial Intelligence in Research," EU research and innovation paper series KI-01-25-084-EN-N, Directorate General for Research and Innovation (DG RTD) of the European Commission.
- David Autor & Andrew Caplin & Daniel Martin & Philip Marx, 2025. "Misaligned by Design: Incentive Failures in Machine Learning," Papers 2511.07699, arXiv.org.
- Tobias R. Rebholz & Maxwell Uphoff & Christian H. R. Bernges & Florian Scholten, 2025. "Algorithmic Advice as a Strategic Signal on Competitive Markets," Papers 2511.09454, arXiv.org.
- Maja Adena & Eleonora Alabrese & Francesco Capozza & Isabelle Leader, 2025. "AI Images, Labels and News Demand," CESifo Working Paper Series 12277, CESifo.
- König, Pascal & Weißmüller, Kristina Sabrina, 2025. "Why Do Civil Servants Delegate Empathic Engagement with Clients to Artificial Intelligence Systems? Insights from a Discrete Choice Experiment," SocArXiv v9nj3_v1, Center for Open Science.
- Hellsten, Mark & Khanna, Shantanu & Lodefalk, Magnus & Yakymovych, Yaroslav, 2025. "The Effects of Artificial Intelligence on Jobs: Evidence from an AI Subsidy Program," Ratio Working Papers 386, The Ratio Institute.
- Liu, Yan & Wang, He & Yu, Shu, 2025. "Labor Demand in the Age of Generative AI : Early Evidence from the U.S. Job Posting Data," Policy Research Working Paper Series 11263, The World Bank.
- Stella C. Dong, 2025. "Prudential Reliability of Large Language Models in Reinsurance: Governance, Assurance, and Capital Efficiency," Papers 2511.08082, arXiv.org.
- Gaetan Caillaut & Raheel Qader & Jingshu Liu & Mariam Nakhl'e & Arezki Sadoune & Massinissa Ahmim & Jean-Gabriel Barthelemy, 2025. "The LLM Pro Finance Suite: Multilingual Large Language Models for Financial Applications," Papers 2511.08621, arXiv.org.
- Don & S. Bowen & McKay Price & Luke Stein & Ke Yang, 2025. "Measuring and Mitigating Racial Disparities in Large Language Model Mortgage Underwriting," ERES eres2025_75, European Real Estate Society (ERES).
- Kikuchi, Tatsuru, 2025. "AI Investment and Firm Productivity: How Executive Demographics Drive Technology Adoption and Performance in Japanese Enterprises," MPRA Paper 126734, University Library of Munich, Germany.
- Vikram Aggarwal & Jay Kulkarni & Aakriti Narang & Aditi Mascarenhas & Siddarth Raman & Ajay Shah & Susan Thomas, 2025. "Information Extraction from Fiscal Documents using LLMs," Working Papers 43, xKDR.
- Elliot Beck & Franziska Eckert & Linus Kuhne & Helge Liebert & Rina Rosenblatt-Wisch, 2025. "Measuring economic outlook in the news," Papers 2511.04299, arXiv.org, revised Dec 2025.
- Kelvin J. L. Koa & Jan Chen & Yunshan Ma & Huanhuan Zheng & Tat-Seng Chua, 2025. "Reasoning on Time-Series for Financial Technical Analysis," Papers 2511.08616, arXiv.org.
- Yusuke Takahashi & Kazuki Otaka & Naoya Kato, 2025. "Potential Applications of Generative AI in Economic Simulations," Bank of Japan Research Laboratory Series 25-E-1, Bank of Japan.
- Filippo Gusella & Eugenio Vicario, 2025. "Generative Agents and Expectations: Do LLMs Align with Heterogeneous Agent Models?," Papers 2511.08604, arXiv.org.
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