Printed from https://ideas.repec.org/n/nep-ain/2024-07-15.html
Report NEP-AIN-2024-07-15
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:
- Nicole Immorlica & Brendan Lucier & Aleksandrs Slivkins, 2024, "Generative AI as Economic Agents," Papers, arXiv.org, number 2406.00477, Jun.
- Bernhard Kasberger & Simon Martin & Hans-Theo Normann & Tobias Werner, 2024, "Algorithmic Cooperation," CESifo Working Paper Series, CESifo, number 11124.
- Berger, Benedikt & Adam, Martin & Rühr, Alexander & Benlian, Alexander, 2024, "Watch Me Improve — Algorithm Aversion and Demonstrating the Ability to Learn," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 146095, Jun, DOI: 10.1007/s12599-020-00678-5.
- Jingru Jia & Zehua Yuan & Junhao Pan & Paul E. McNamara & Deming Chen, 2024, "Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context," Papers, arXiv.org, number 2406.05972, Jun, revised Oct 2024.
- Can Celebi & Stefan Penczynski, 2024, "Using Large Language Models for Text Classification in Experimental Economics," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS), School of Economics, University of East Anglia, Norwich, UK., number 24-01, Jun.
- Simon D Angus & Lachlan O'Neill, 2024, "Paired completion: quantifying issue-framing at scale with LLMs," SoDa Laboratories Working Paper Series, Monash University, SoDa Laboratories, number 2024-02, Jun.
- Eiji Yamamura & Fumio Ohtake, 2024, "Views about ChatGPT: Are human decision making and human learning necessary?," Papers, arXiv.org, number 2406.03823, Jun.
- Oecd, 2024, "The OECD Truth Quest Survey: Methodology and findings," OECD Digital Economy Papers, OECD Publishing, number 369, Jun, DOI: 10.1787/92a94c0f-en.
- Kene Boun My & Julien Jacob & Mathieu Lefebvre, 2024, "AI devices and liability," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2024-24.
- Koch, Michael & Lodefalk, Magnus, 2024, "Artificial Intelligence and Worker Stress: Evidence from Germany," Working Papers, Örebro University, School of Business, number 2024:5, Jun.
- Mauro Cazzaniga & Carlo Pizzinelli & Emma J Rockall & Ms. Marina Mendes Tavares, 2024, "Exposure to Artificial Intelligence and Occupational Mobility: A Cross-Country Analysis," IMF Working Papers, International Monetary Fund, number 2024/116, Jun.
- Fossen, Frank M. & McLemore, Trevor & Sorgner, Alina, 2024, "Artificial Intelligence and Entrepreneurship," IZA Discussion Papers, Institute of Labor Economics (IZA), number 17055, Jun.
- Tohid Atashbar, 2024, "Reinforcement Learning from Experience Feedback: Application to Economic Policy," IMF Working Papers, International Monetary Fund, number 2024/114, Jun.
- Fernanda Brollo & Ms. Era Dabla-Norris & Mr. Ruud de Mooij & Mr. Daniel Garcia-Macia & Tibor Hanappi & Ms. Li Liu & Anh D. M. Nguyen, 2024, "Broadening the Gains from Generative AI: The Role of Fiscal Policies," IMF Staff Discussion Notes, International Monetary Fund, number 2024/002, Jun.
- Alexander Bakumenko & Katev{r}ina Hlav'av{c}kov'a-Schindler & Claudia Plant & Nina C. Hubig, 2024, "Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs," Papers, arXiv.org, number 2406.03614, Jun.
- Edward Sharkey & Philip Treleaven, 2024, "BERT vs GPT for financial engineering," Papers, arXiv.org, number 2405.12990, Apr.
- Tom'as Aguirre, 2024, "On Labs and Fabs: Mapping How Alliances, Acquisitions, and Antitrust are Shaping the Frontier AI Industry," Papers, arXiv.org, number 2406.01722, Jun, revised Jun 2024.
- Askitas, Nikos, 2024, "A Hands-on Machine Learning Primer for Social Scientists: Math, Algorithms and Code," IZA Discussion Papers, Institute of Labor Economics (IZA), number 17014, May.