Report NEP-AIN-2026-01-26

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:

• Rainer Michael Rilke & Dirk Sliwka, 2026, "When Algorithms Rate Performance: Do Large Language Models Replicate Human Evaluation Biases?," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 384, Jan.
• Felix Chopra & Ingar Haaland & Nicolas Roever & Christopher Roth, 2026, "Evaluating Behavioral Interventions at Scale with AI," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 385, Jan.
• Pawe{l} Niszczota & Cassandra Grutzner, 2026, "Antisocial behavior towards large language model users: experimental evidence," Papers, arXiv.org, number 2601.09772, Jan.
• Shengyu Cao & Ming Hu, 2026, "LLM Collusion," Papers, arXiv.org, number 2601.01279, Jan.
• Michael Yang & Ruijiang Gao & Zhiqiang & Zheng, 2025, "Sell Data to AI Algorithms Without Revealing It: Secure Data Valuation and Sharing via Homomorphic Encryption," Papers, arXiv.org, number 2512.06033, Dec.
• Nikoleta Anesti & Edward Hill & Andreas Joseph, 2025, "Inflation Attitudes of Large Language Models," Papers, arXiv.org, number 2512.14306, Dec.
• Manshu Khanna & Ziyi Wang & Lijia Wei & Lian Xue, 2025, "When Medical AI Explanations Help and When They Harm," Papers, arXiv.org, number 2512.08424, Dec.
• James Alm & Rida Belahouaoui, 2025, "Emerging Trends in Tax Fraud Detection Using Artificial Intelligence-Based Technologies," Working Papers, Tulane University, Department of Economics, number 2511, Nov.
• Robert D. Metcalfe & Andrew Schein & Cohen R. Simpson & Yixin Sun, 2026, "AI in Charge: Large-Scale Experimental Evidence on Electric Vehicle Charging Demand," NBER Working Papers, National Bureau of Economic Research, Inc, number 34709, Jan.
• Junhui Jeff Cai & Xian Gu & Liugang Sheng & Mengjia Xia & Linda Zhao & Wu Zhu, 2025, "AI as "Co-founder": GenAI for Entrepreneurship," Papers, arXiv.org, number 2512.06506, Dec.
• Morgan R. Frank & Alireza Javadian Sabet & Lisa Simon & Sarah H. Bana & Renzhe Yu, 2026, "AI-exposed jobs deteriorated before ChatGPT," Papers, arXiv.org, number 2601.02554, Jan.
• Sam J. Manning & Tomás Aguirre, 2026, "How Adaptable Are American Workers to AI-Induced Job Displacement?," NBER Working Papers, National Bureau of Economic Research, Inc, number 34705, Jan.
• Jeremy Yang & Noah Yonack & Kate Zyskowski & Denis Yarats & Johnny Ho & Jerry Ma, 2025, "The Adoption and Usage of AI Agents: Early Evidence from Perplexity," Papers, arXiv.org, number 2512.07828, Dec, revised Dec 2025.
• David Loschiavo & Olivier Armantier & Antonio Dalla Zuanna & Leonardo Gambacorta & Mirko Moscatelli & Ilaria Supino, 2026, "Embracing gen AI: a comparison of Italian and US households," BIS Working Papers, Bank for International Settlements, number 1322, Jan.
• Fischer, Mira & Rau, Holger A. & Rilke, Rainer Michael, 2025, "AI tutoring enhances student learning without crowding out reading effort," Discussion Papers, Research Unit: Market Behavior, WZB Berlin Social Science Center, number SP II 2025-203.
• Bojidara Doseva & Catherine Dehon & Antonio Estache, 2025, "Can artificial intelligence help improve the financial literacy of primary schools’ students?," Working Papers ECARES, ULB -- Universite Libre de Bruxelles, number 2025-13, Sep.
• Shanoyan, Aleksan & Britton, Logan L. & Bergtold, Jason S. & Hobbs Jr., Lonnie & Sharma, Priyanka, 2025, "Exploring the Relationship Between Instructors’ Perception of AI Impact on Teaching and Their Personal AI Use," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO, Agricultural and Applied Economics Association, number 361162, DOI: 10.22004/ag.econ.361162.
• Yu Liu & Wenwen Li & Yifan Dou & Guangnan Ye, 2025, "How AI Agents Follow the Herd of AI? Network Effects, History, and Machine Optimism," Papers, arXiv.org, number 2512.11943, Dec.
• Eren Kurshan & Tucker Balch & David Byrd, 2025, "The Agentic Regulator: Risks for AI in Finance and a Proposed Agent-based Framework for Governance," Papers, arXiv.org, number 2512.11933, Dec.
• Tianyu Fan & Yuhao Yang & Yangqin Jiang & Yifei Zhang & Yuxuan Chen & Chao Huang, 2025, "AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets," Papers, arXiv.org, number 2512.10971, Nov.
• Gongao Zhang & Haijiang Zeng & Lu Jiang, 2026, "Uni-FinLLM: A Unified Multimodal Large Language Model with Modular Task Heads for Micro-Level Stock Prediction and Macro-Level Systemic Risk Assessment," Papers, arXiv.org, number 2601.02677, Jan.