Report NEP-AIN-2025-01-27

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:

• Dongwoo Lee & Gavin Kader, 2024. "The Emergence of Strategic Reasoning of Large Language Models," Papers 2412.13013, arXiv.org.
• Jens Ludwig & Sendhil Mullainathan & Ashesh Rambachan, 2024. "Large Language Models: An Applied Econometric Framework," Papers 2412.07031, arXiv.org, revised Jan 2025.
• Stefania Albanesi, 2023. "New Technologies and Jobs in Europe," Working Papers 2023-01, University of Miami, Department of Economics.
• Mahdi Ahmadi & Neda Khosh Kheslat & Adebola Akintomide, 2024. "Generative AI Impact on Labor Market: Analyzing ChatGPT's Demand in Job Advertisements," Papers 2412.07042, arXiv.org.
• Item repec:hal:journl:hal-04837769 is not listed on IDEAS anymore

• Meiling Huang & Ming Jin & Ning Li, 2024. "Augmenting Minds or Automating Skills: The Differential Role of Human Capital in Generative AI's Impact on Creative Tasks," Papers 2412.03963, arXiv.org.
• Aidan Toner-Rodgers, 2024. "Artificial Intelligence, Scientific Discovery, and Product Innovation," Papers 2412.17866, arXiv.org.
• Tina Highfill & David Wasshausen & Gregory Prunchak, 2025. "Concepts and Challenges of Measuring Production of Artificial Intelligence in the U.S. Economy," BEA Papers 0134, Bureau of Economic Analysis.
• Enrico Maria Fenoaltea & Dario Mazzilli & Aurelio Patelli & Angelica Sbardella & Andrea Tacchella & Andrea Zaccaria & Marco Trombetti & Luciano Pietronero, 2024. "Follow the money: a startup-based measure of AI exposure across occupations, industries and regions," Papers 2412.04924, arXiv.org, revised Dec 2024.
• Rehse, Dominik & Valet, Sebastian & Walter, Johannes, 2024. "Safe AI made in the EU," ZEW policy briefs 22/2024, ZEW - Leibniz Centre for European Economic Research.
• Mengming Michael Dong & Theophanis C. Stratopoulos & Victor Xiaoqi Wang, 2024. "A Scoping Review of ChatGPT Research in Accounting and Finance," Papers 2412.05731, arXiv.org.
• Edward Li & Zhiyuan Tu & Dexin Zhou, 2024. "The Promise and Peril of Generative AI: Evidence from GPT-4 as Sell-Side Analysts," Papers 2412.01069, arXiv.org.
• Yixuan Liang & Yuncong Liu & Boyu Zhang & Christina Dan Wang & Hongyang Yang, 2024. "FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched LLMs," Papers 2412.10823, arXiv.org.
• Van-Duc Le, 2024. "Auto-Generating Earnings Report Analysis via a Financial-Augmented LLM," Papers 2412.08179, arXiv.org.
• Olamilekan Shobayo & Sidikat Adeyemi-Longe & Olusogo Popoola & Bayode Ogunleye, 2024. "Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach," Papers 2412.06837, arXiv.org.
• Haohang Li & Yupeng Cao & Yangyang Yu & Shashidhar Reddy Javaji & Zhiyang Deng & Yueru He & Yuechen Jiang & Zining Zhu & Koduvayur Subbalakshmi & Guojun Xiong & Jimin Huang & Lingfei Qian & Xueqing Pe, 2024. "INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent," Papers 2412.18174, arXiv.org.
• Sebastien Valeyre & Sofiane Aboura, 2024. "LLMs for Time Series: an Application for Single Stocks and Statistical Arbitrage," Papers 2412.09394, arXiv.org.
• Marco Molinari & Victor Shao & Vladimir Tregubiak & Abhimanyu Pandey & Mateusz Mikolajczak & Sebastian Kuznetsov Ryder Torres Pereira, 2024. "Interpretable Company Similarity with Sparse Autoencoders," Papers 2412.02605, arXiv.org, revised Dec 2024.
• Azizul Hakim Rafi & Abdullah Al Abrar Chowdhury & Adita Sultana & Abdulla All Noman, 2024. "Unveiling the Role of Artificial Intelligence and Stock Market Growth in Achieving Carbon Neutrality in the United States: An ARDL Model Analysis," Papers 2412.16166, arXiv.org.
• Qilong Wu & Xiaoneng Xiang & Hejia Huang & Xuan Wang & Yeo Wei Jie & Ranjan Satapathy & Ricardo Shirota Filho & Bharadwaj Veeravalli, 2024. "SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation," Papers 2412.10906, arXiv.org.
• Anton Korinek, 2024. "Generative AI for Economic Research: LLMs Learn to Collaborate and Reason," NBER Working Papers 33198, National Bureau of Economic Research, Inc.
• Thomas Krause & Steffen Otterbach & Johannes Singer, 2024. "Delving into Youth Perspectives on In-game Gambling-like Elements: A Proof-of-Concept Study Utilising Large Language Models for Analysing User-Generated Text Data," Papers 2412.09345, arXiv.org.
• Julian Junyan Wang & Victor Xiaoqi Wang, 2024. "Leveraging Large Language Models to Democratize Access to Costly Financial Datasets for Academic Research," Papers 2412.02065, arXiv.org.
• Xinyi Zhang & Chenshuo Sun & Renyu Zhang & Khim-Yong Goh, 2024. "The Value of AI-Generated Metadata for UGC Platforms: Evidence from a Large-scale Field Experiment," Papers 2412.18337, arXiv.org.