Report NEP-AIN-2023-07-31

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:

• Weber, Patrick & Pinski, Marc & Baum, Lorenz, 2023. "Toward an Objective Measurement of AI Literacy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138515, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Thomas Dohmke & Marco Iansiti & Greg Richards, 2023. "Sea Change in Software Development: Economic and Productivity Analysis of the AI-Powered Developer Lifecycle," Papers 2306.15033, arXiv.org.
• Johanna Deperi & Ludovic Dibiaggio & Mohamed Keita & Lionel Nesta, 2023. "Ideas Without Scale in French Artificial Intelligence Innovations," SciencePo Working papers Main hal-04144817, HAL.
• Boyu Zhang & Hongyang Yang & Xiao-Yang Liu, 2023. "Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models," Papers 2306.12659, arXiv.org.
• Haohan Zhang & Fengrui Hua & Chengjin Xu & Hao Kong & Ruiting Zuo & Jian Guo, 2023. "Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?," Papers 2306.14222, arXiv.org, revised May 2024.
• Juan Esteban Berger, 2023. "Pricing European Options with Google AutoML, TensorFlow, and XGBoost," Papers 2307.00476, arXiv.org.
• David Noel, 2023. "Stock Price Prediction using Dynamic Neural Networks," Papers 2306.12969, arXiv.org.
• Wenbo Ge & Pooia Lalbakhsh & Leigh Isai & Artem Lensky & Hanna Suominen, 2023. "Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data," Papers 2306.12446, arXiv.org, revised Jun 2023.
• Erik Altman & Jovan Blanuv{s}a & Luc von Niederhausern & B'eni Egressy & Andreea Anghel & Kubilay Atasu, 2023. "Realistic Synthetic Financial Transactions for Anti-Money Laundering Models," Papers 2306.16424, arXiv.org, revised Jan 2024.
• Bertin Martens, 2023. "What should be done about Google’s quasi-monopoly in search? Mandatory data sharing versus AI-driven technological competition," Bruegel Working Papers node_9228, Bruegel.