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Report NEP-AIN-2024-11-11
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:
- Holtdirk, Tobias & Assenmacher, Dennis & Bleier, Arnim & Wagner, Claudia, 2024, "Fine-Tuning Large Language Models to Simulate German Voting Behaviour (Working Paper)," OSF Preprints, Center for Open Science, number udz28, Oct, DOI: 10.31219/osf.io/udz28.
- Hanzhe Li & Jin Li & Ye Luo & Xiaowei Zhang, 2024, "AI Persuasion, Bayesian Attribution, and Career Concerns of Decision-Makers," Papers, arXiv.org, number 2410.01114, Oct, revised Feb 2026.
- Marguerita Lane, 2024, "Who will be the workers most affected by AI?: A closer look at the impact of AI on women, low-skilled workers and other groups," OECD Artificial Intelligence Papers, OECD Publishing, number 26, Oct, DOI: 10.1787/14dc6f89-en.
- Van Khanh Pham & Minh Le, 2024, "Impact of Artificial Intelligence on Environmental Quality through Technical Change: A Free Dynamic Equilibrium Approach," Papers, arXiv.org, number 2410.06501, Oct, revised Jun 2025.
- Jacques Bughin, 2024, "The Role of Firm AI Capabilities in Generative AI-pair Coding," Working Papers TIMES², ULB -- Universite Libre de Bruxelles, number 2024-076, Sep.
- Jacques Bughin, 2024, "Doing versus Saying: Responsible AI among Large Firms," Working Papers TIMES², ULB -- Universite Libre de Bruxelles, number 2024-077, Jul.
- Benedikt Gloria & Sven Bienert & Johannes Melsbach & Detlef Schoder, 2024, "Real-GPT: Efficiently Tailoring LLMs for Informed Decision-Making in the Real Estate Industry," ERES, European Real Estate Society (ERES), number eres2024-036, Jan.
- Mr. Bas B. Bakker & Sophia Chen & Dmitry Vasilyev & Olga Bespalova & Moya Chin & Daria Kolpakova & Archit Singhal & Yuanchen Yang, 2024, "What Can Artificial Intelligence Do for Stagnant Productivity in Latin America and the Caribbean?," IMF Working Papers, International Monetary Fund, number 2024/219, Oct.
- Yanxin Shen & Pulin Kirin Zhang, 2024, "Financial Sentiment Analysis on News and Reports Using Large Language Models and FinBERT," Papers, arXiv.org, number 2410.01987, Oct.
- Jingyi TIAN & Jun NAGAYASU, 2024, "AI and Financial Systemic Risk in the Global Market," TUPD Discussion Papers, Graduate School of Economics and Management, Tohoku University, number 55, Oct.
- Nigar Karimova, 2024, "Application of AI in Credit Risk Scoring for Small Business Loans: A case study on how AI-based random forest model improves a Delphi model outcome in the case of Azerbaijani SMEs," Papers, arXiv.org, number 2410.05330, Oct.
- Manuela Pedio & Massimo Guidolin & Giulia Panzeri, 2024, "Machine Learning in Portfolio Decisions," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 24233.
- Baptiste Lefort & Eric Benhamou & Jean-Jacques Ohana & David Saltiel & Beatrice Guez, 2024, "Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning," Papers, arXiv.org, number 2409.11408, Aug.