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, arXiv.org, number 2511.08785, Nov.
- 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, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-01-25-084-EN-N, Jun, DOI: 10.2777/1024414.
- David Autor & Andrew Caplin & Daniel Martin & Philip Marx, 2025, "Misaligned by Design: Incentive Failures in Machine Learning," Papers, arXiv.org, number 2511.07699, Nov.
- Tobias R. Rebholz & Maxwell Uphoff & Christian H. R. Bernges & Florian Scholten, 2025, "Algorithmic Advice as a Strategic Signal on Competitive Markets," Papers, arXiv.org, number 2511.09454, Nov.
- Maja Adena & Eleonora Alabrese & Francesco Capozza & Isabelle Leader, 2025, "AI Images, Labels and News Demand," CESifo Working Paper Series, CESifo, number 12277.
- 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, Center for Open Science, number v9nj3_v1, Nov, DOI: 10.31219/osf.io/v9nj3_v1.
- 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, The Ratio Institute, number 386, Nov.
- 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, The World Bank, number 11263, Nov.
- Stella C. Dong, 2025, "Prudential Reliability of Large Language Models in Reinsurance: Governance, Assurance, and Capital Efficiency," Papers, arXiv.org, number 2511.08082, Nov.
- 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, arXiv.org, number 2511.08621, Nov.
- Don & S. Bowen & McKay Price & Luke Stein & Ke Yang, 2025, "Measuring and Mitigating Racial Disparities in Large Language Model Mortgage Underwriting," ERES, European Real Estate Society (ERES), number eres2025_75, Jan.
- Kikuchi, Tatsuru, 2025, "AI Investment and Firm Productivity: How Executive Demographics Drive Technology Adoption and Performance in Japanese Enterprises," MPRA Paper, University Library of Munich, Germany, number 126734.
- Vikram Aggarwal & Jay Kulkarni & Aakriti Narang & Aditi Mascarenhas & Siddarth Raman & Ajay Shah & Susan Thomas, 2025, "Information Extraction from Fiscal Documents using LLMs," Working Papers, xKDR, number 43, Nov.
- Elliot Beck & Franziska Eckert & Linus Kuhne & Helge Liebert & Rina Rosenblatt-Wisch, 2025, "Measuring economic outlook in the news," Papers, arXiv.org, number 2511.04299, Nov, revised Feb 2026.
- Kelvin J. L. Koa & Jan Chen & Yunshan Ma & Huanhuan Zheng & Tat-Seng Chua, 2025, "Reasoning on Time-Series for Financial Technical Analysis," Papers, arXiv.org, number 2511.08616, Nov, revised Mar 2026.
- Yusuke Takahashi & Kazuki Otaka & Naoya Kato, 2025, "Potential Applications of Generative AI in Economic Simulations," Bank of Japan Research Laboratory Series, Bank of Japan, number 25-E-1, Nov.
- Filippo Gusella & Eugenio Vicario, 2025, "Generative Agents and Expectations: Do LLMs Align with Heterogeneous Agent Models?," Papers, arXiv.org, number 2511.08604, Nov.
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