Report NEP-AIN-2026-06-15

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:

• Ansgar Hudde & Shannon Taflinger, 2026, "A Golden Era for Open-Ended Questions? Using LLMs for Text Classification Tasks," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 416, Jun.
• Shang Wu & Randol Yao, 2026, "AI evaluation may bias perceptions: The importance of context in interpreting academic writing," Papers, arXiv.org, number 2605.26662, May.
• Soria, Chris, 2026, "High Agreement, Different Stories: How LLM Classifiers Reshape Demographic Patterns in Survey Data," SocArXiv, Center for Open Science, number 85kyd_v1, Jun, DOI: 10.31219/osf.io/85kyd_v1.
• Kononykhina, Olga & Haensch, Anna-Carolina & Kreuter, Frauke, 2026, "Between the Embedding and the Prompt: Systematic Design Effects in LLM-based Occupation Coding," SocArXiv, Center for Open Science, number g6wjy_v1, May, DOI: 10.31219/osf.io/g6wjy_v1.
• Chen Zhu & Xiaolu Wang & Weilong Zhang, 2026, "(Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliable," Papers, arXiv.org, number 2606.12848, Jun.
• Daniel Martin, 2026, "Revisiting the ABCs of Working with AI: A Replication with Radiologists," Papers, arXiv.org, number 2606.12585, Jun.
• Mert Demirer & Leon Musolff & Liyuan Yang, 2026, "Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools," NBER Working Papers, National Bureau of Economic Research, Inc, number 35275, May.
• Ilse Lindenlaub & Ryungha Oh & Maria Alejandra Rodriguez & Laura Veldkamp, 2026, "Beyond Exposure: Predicting AI Adoption Based on Comparative Advantage," NBER Working Papers, National Bureau of Economic Research, Inc, number 35271, May.
• Risi, Gianluca, 2026, "Digitalization, AI Capabilities, Tasks: Occupational AI Exposure and Wage Inequality across Italian Provinces," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 340911.
• Ozili, Peterson K, 2026, "Artificial intelligence (AI) innovation and economic growth: asymmetric analysis and role of stock market, financial stability and trade openness," MPRA Paper, University Library of Munich, Germany, number 128950.
• Ursel Baumann & Zoë B. Cullen & Ester Faia & Annalisa Ferrando & Ricardo Perez-Truglia & Judit Rariga, 2026, "Innovation without Borders? The Geography of Technological Diffusion," NBER Working Papers, National Bureau of Economic Research, Inc, number 35314, Jun.
• Leonhard Reiter & Moritz Joerling & Christoph Fuchs & Working Group Artificial Intelligence In Higher Education & Robert Böhm, 2025, "Student (Mis)Use of Generative AI Tools for University-Related Tasks," Post-Print, HAL, number hal-05626257, Oct, DOI: 10.1080/10447318.2025.2462083.
• Taojie Zhu & Wentao Zhao & Rui Sun & Beidi Luan & Jiacheng Lu & Sinuo Wang & Jing Li & Daxin Jiang & Yonghong He & Zuo Bai, 2026, "From Knowing to Doing: A Memory-Controlled Benchmark for LLM Trading Agents on Stock Markets," Papers, arXiv.org, number 2605.28359, May.
• Gmyrek, Pawel & Viollaz, Mariana & Winkler, Hernan, 2026, "Disruption without Dividend ? How the Digital Divide and Task Differences Split GenAI’s Global Impact," Policy Research Working Paper Series, The World Bank, number 11328, Mar.
• Wenbin Wu, 2026, "Auditing Asset-Specific Preferences in Financial Large Language Models: Evidence from Bitcoin Representations and Portfolio Allocation," Papers, arXiv.org, number 2606.02528, Jun.