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Report NEP-AIN-2025-02-24
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:
- Pataranutaporn, Pat & Powdthavee, Nattavudh & Maes, Pattie, 2025, "Can AI Solve the Peer Review Crisis? A Large-Scale Experiment on LLM's Performance and Biases in Evaluating Economics Papers," IZA Discussion Papers, IZA Network @ LISER, number 17659, Jan.
- Iuliia Alekseenko & Dmitry Dagaev & Sofia Paklina & Petr Parshakov, 2025, "Strategizing with AI: Insights from a Beauty Contest Experiment," Papers, arXiv.org, number 2502.03158, Feb, revised Oct 2025.
- Ceballos, Francisco & Chugh, Aditi & Kramer, Berber, 2024, "Impacts of personalized picture-based crop advisories: Experimental evidence from India and Kenyaactivation in citizens’ juries: Enhancing deliberation and civic engagement in sustainable food systems," IFPRI discussion papers, International Food Policy Research Institute (IFPRI), number 2322.
- Jing Yuan & Mengjie Han & Jinxin Cao & Zongwu Cai, 2025, "Impact of Artificial Intelligence on Occupational Income Inequality in China," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202504, Feb, revised Mar 2026.
- Marydas, Sneha & Mathew, Nanditha & De Marzo, Giordano & Pietrobelli, Carlo, 2025, "Digital Technologies, Hiring, Training, and Firm Outcomes," MERIT Working Papers, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT), number 2025-004, Feb, DOI: 10.53330/ARHR3976.
- Kubitza, Dennis Oliver & Weßling, Katarina, 2025, "Whole Lotta Training - Studying School-to-Training Transitions by Training Artificial Neural Networks," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 310974.
- Thomas MELONIO & Peter Martey Addo, & Anastesia Taieb, & Laura Landrein, 2025, "AI Investment Potential Index 2025," Working Paper, Agence française de développement, number 44a14442-0240-4d48-9609-2, Feb.
- Yoontae Hwang & Yaxuan Kong & Stefan Zohren & Yongjae Lee, 2025, "Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization," Papers, arXiv.org, number 2502.00828, Feb.
- George Fatouros & Kostas Metaxas & John Soldatos & Manos Karathanassis, 2025, "MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents," Papers, arXiv.org, number 2502.00415, Feb, revised Oct 2025.
- Felix Drinkall & Janet B. Pierrehumbert & Stefan Zohren, 2025, "When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks," Papers, arXiv.org, number 2502.02199, Feb.