Printed from https://ideas.repec.org/n/nep-ain/2025-06-30.html
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, arXiv.org, number 2505.21371, May, 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, arXiv.org, number 2505.07457, May.
- 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, arXiv.org, number 2506.13313, Jun.
- Joshua S. Gans, 2025, "Growth in AI Knowledge," NBER Working Papers, National Bureau of Economic Research, Inc, number 33907, Jun.
- Daron Acemoglu & Asuman Ozdaglar & James Siderius, 2025, "AI and Social Media: A Political Economy Perspective," NBER Working Papers, National Bureau of Economic Research, Inc, number 33892, Jun.
- 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, London School of Economics and Political Science, LSE Library, number 128375, May.
- Alex Farach & Alexia Cambon & Jared Spataro, 2025, "Evolving the Productivity Equation: Should Digital Labor Be Considered a New Factor of Production?," Papers, arXiv.org, number 2505.09408, May.
- 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, arXiv.org, number 2506.15041, Jun.
- Marcus Buckmann & Quynh Anh Nguyen & Edward Hill, 2025, "Revealing economic facts: LLMs know more than they say," Papers, arXiv.org, number 2505.08662, May, revised Dec 2025.
- 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, arXiv.org, number 2506.12110, Jun.
- Zonghan Wu & Congyuan Zou & Junlin Wang & Chenhan Wang & Hangjing Yang & Yilei Shao, 2025, "Towards Competent AI for Fundamental Analysis in Finance: A Benchmark Dataset and Evaluation," Papers, arXiv.org, number 2506.07315, May, revised Nov 2025.
- Weixian Waylon Li & Hyeonjun Kim & Mihai Cucuringu & Tiejun Ma, 2025, "Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?," Papers, arXiv.org, number 2505.07078, May, revised Feb 2026.
- 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, arXiv.org, number 2506.06345, Jun.
- David Aristei & Manuela Gallo, 2025, "Financial literacy, robo-advising, and the demand for human financial advice: Evidence from Italy," Papers, arXiv.org, number 2505.20527, May, 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, International Monetary Fund, number 2025/109, Jun.
- Timoth'ee Hornek Amir Sartipi & Igor Tchappi & Gilbert Fridgen, 2025, "Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting," Papers, arXiv.org, number 2506.08113, Jun, revised Aug 2025.
- Giuseppe Arbia & Luca Morandini & Vincenzo Nardelli, 2025, "Evaluating Large Language Model Capabilities in Assessing Spatial Econometrics Research," Papers, arXiv.org, number 2506.06377, Jun.
- 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, Bank of England, number 1127, May.