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.

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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 17659, Institute of Labor Economics (IZA).
• Iuliia Alekseenko & Dmitry Dagaev & Sofia Paklina & Petr Parshakov, 2025. "Strategizing with AI: Insights from a Beauty Contest Experiment," Papers 2502.03158, arXiv.org.
• 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 syste," IFPRI discussion papers 2322, International Food Policy Research Institute (IFPRI).
• Jing Yuan & Yinghui Wang & Jinxin Cao & Zongwu Cai, 2025. "Impact of Artificial Intelligence on Occupational Income Inequality in China," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202504, University of Kansas, Department of Economics, revised Feb 2025.
• Marydas, Sneha & Mathew, Nanditha & De Marzo, Giordano & Pietrobelli, Carlo, 2025. "Digital Technologies, Hiring, Training, and Firm Outcomes," MERIT Working Papers 2025-004, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
• Kubitza, Dennis Oliver & Weßling, Katarina, 2025. "Whole Lotta Training - Studying School-to-Training Transitions by Training Artificial Neural Networks," EconStor Preprints 310974, ZBW - Leibniz Information Centre for Economics.
• Thomas MELONIO & Peter Martey Addo, & Anastesia Taieb, & Laura Landrein, 2025. "AI Investment Potential Index 2025," Working Paper 44a14442-0240-4d48-9609-2, Agence française de développement.
• Yoontae Hwang & Yaxuan Kong & Stefan Zohren & Yongjae Lee, 2025. "Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization," Papers 2502.00828, arXiv.org.
• George Fatouros & Kostas Metaxas & John Soldatos & Manos Karathanassis, 2025. "MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents," Papers 2502.00415, arXiv.org.
• Felix Drinkall & Janet B. Pierrehumbert & Stefan Zohren, 2025. "When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks," Papers 2502.02199, arXiv.org.