Report NEP-AIN-2025-06-30

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:

• Shu Wang & Zijun Yao & Shuhuai Zhang & Jianuo Gai & Tracy Xiao Liu & Songfa Zhong, 2025. "When Experimental Economics Meets Large Language Models: Evidence-based Tactics," Papers 2505.21371, arXiv.org, revised Jul 2025.
• R. Maria del Rio-Chanona & Marco Pangallo & Cars Hommes, 2025. "Can Generative AI agents behave like humans? Evidence from laboratory market experiments," Papers 2505.07457, arXiv.org.
• Weiyao Meng & John Harvey & James Goulding & Chris James Carter & Evgeniya Lukinova & Andrew Smith & Paul Frobisher & Mina Forrest & Georgiana Nica-Avram, 2025. "Large Language Models as 'Hidden Persuaders': Fake Product Reviews are Indistinguishable to Humans and Machines," Papers 2506.13313, arXiv.org.
• Joshua S. Gans, 2025. "Growth in AI Knowledge," NBER Working Papers 33907, National Bureau of Economic Research, Inc.
• Daron Acemoglu & Asuman Ozdaglar & James Siderius, 2025. "AI and Social Media: A Political Economy Perspective," NBER Working Papers 33892, National Bureau of Economic Research, Inc.
• Aghion, Philippe & Bunel, Simon & Jaravel, Xavier & Mikaelsen, Thomas & Roulet, Alexandra & Søgaard, Jakob, 2025. "How different uses of AI shape labor demand: evidence from France," LSE Research Online Documents on Economics 128375, London School of Economics and Political Science, LSE Library.
• Alex Farach & Alexia Cambon & Jared Spataro, 2025. "Evolving the Productivity Equation: Should Digital Labor Be Considered a New Factor of Production?," Papers 2505.09408, arXiv.org.
• Tobias Schmidt & Kai-Robin Lange & Matthias Reccius & Henrik Muller & Michael Roos & Carsten Jentsch, 2025. "Identifying economic narratives in large text corpora -- An integrated approach using Large Language Models," Papers 2506.15041, arXiv.org.
• Marcus Buckmann & Quynh Anh Nguyen & Edward Hill, 2025. "Revealing economic facts: LLMs know more than they say," Papers 2505.08662, arXiv.org.
• Qirui Mi & Qipeng Yang & Zijun Fan & Wentian Fan & Heyang Ma & Chengdong Ma & Siyu Xia & Bo An & Jun Wang & Haifeng Zhang, 2025. "EconGym: A Scalable AI Testbed with Diverse Economic Tasks," Papers 2506.12110, arXiv.org.
• Zonghan Wu & Junlin Wang & Congyuan Zou & Chenhan Wang & Yilei Shao, 2025. "Towards Competent AI for Fundamental Analysis in Finance: A Benchmark Dataset and Evaluation," Papers 2506.07315, arXiv.org.
• Weixian Waylon Li & Hyeonjun Kim & Mihai Cucuringu & Tiejun Ma, 2025. "Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?," Papers 2505.07078, arXiv.org, revised Aug 2025.
• Sukru Selim Calik & Andac Akyuz & Zeynep Hilal Kilimci & Kerem Colak, 2025. "Explainable-AI powered stock price prediction using time series transformers: A Case Study on BIST100," Papers 2506.06345, arXiv.org.
• David Aristei & Manuela Gallo, 2025. "Financial literacy, robo-advising, and the demand for human financial advice: Evidence from Italy," Papers 2505.20527, arXiv.org, revised May 2025.
• Thiago Christiano Silva & Kei Moriya & Mr. Romain M Veyrune, 2025. "From Text to Quantified Insights: A Large-Scale LLM Analysis of Central Bank Communication," IMF Working Papers 2025/109, International Monetary Fund.
• Timoth'ee Hornek Amir Sartipi & Igor Tchappi & Gilbert Fridgen, 2025. "Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting," Papers 2506.08113, arXiv.org, revised Aug 2025.
• Giuseppe Arbia & Luca Morandini & Vincenzo Nardelli, 2025. "Evaluating Large Language Model Capabilities in Assessing Spatial Econometrics Research," Papers 2506.06377, arXiv.org.
• Marcus Buckmann & Ed Hill, 2025. "Improving text classification: logistic regression makes small LLMs strong and explainable ‘tens-of-shot’ classifiers," Bank of England working papers 1127, Bank of England.