Report NEP-AIN-2023-10-16

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.

Other reports in NEP-AIN

The following items were announced in this report:

• Bauer, Kevin & Liebich, Lena & Hinz, Oliver & Kosfeld, Michael, 2023. "Decoding GPT's hidden "rationality" of cooperation," SAFE Working Paper Series 401, Leibniz Institute for Financial Research SAFE.
• Nunzio Lor`e & Babak Heydari, 2023. "Strategic Behavior of Large Language Models: Game Structure vs. Contextual Framing," Papers 2309.05898, arXiv.org.
• Xingchen Xu & Stephanie Lee & Yong Tan, 2023. "Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems," Papers 2309.14548, arXiv.org.
• Hertz, Uri & Koster, Raphael & Janssen, Marco & Leibo, Joel Z., 2023. "Beyond the Matrix: Experimental Approaches to Studying Social-Ecological Systems," OSF Preprints 6fw42, Center for Open Science.
• Pawe{l} Niszczota & Sami Abbas, 2023. "GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice," Papers 2309.00649, arXiv.org, revised Sep 2024.
• Yi Yang & Yixuan Tang & Kar Yan Tam, 2023. "InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning," Papers 2309.13064, arXiv.org.
• Udit Gupta, 2023. "GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models," Papers 2309.03079, arXiv.org.
• Peer Nagy & Sascha Frey & Silvia Sapora & Kang Li & Anisoara Calinescu & Stefan Zohren & Jakob Foerster, 2023. "Generative AI for End-to-End Limit Order Book Modelling: A Token-Level Autoregressive Generative Model of Message Flow Using a Deep State Space Network," Papers 2309.00638, arXiv.org.
• Richard Baldwin & Toshihiro Okubo, 2023. "Are Software Automation and Teleworkers Substitutes? Preliminary Evidence from Japan," NBER Working Papers 31627, National Bureau of Economic Research, Inc.
• Fahmida Khatun & Nadia Nawrin, 2021. "Artificial Intelligence and Its Impact on Information Technology (IT) Service Sector in Bangladesh," CPD Report 17, Centre for Policy Dialogue (CPD).
• Paul Bilokon & Oleksandr Bilokon & Saeed Amen, 2023. "A compendium of data sources for data science, machine learning, and artificial intelligence," Papers 2309.05682, arXiv.org.