Report NEP-AIN-2024-09-02
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:
- Melissa Dell, 2024. "Deep Learning for Economists," Papers 2407.15339, arXiv.org, revised Nov 2024.
- Hill, Brian, 2023. "Taking the help or going alone: ChatGPT and class assignments," HEC Research Papers Series 1473, HEC Paris.
- Alex Kim & Maximilian Muhn & Valeri Nikolaev, 2024. "Financial Statement Analysis with Large Language Models," Papers 2407.17866, arXiv.org, revised Nov 2024.
- Felix Drinkall & Janet B. Pierrehumbert & Stefan Zohren, 2024. "Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs," Papers 2407.17624, arXiv.org, revised Jan 2025.
- Fernando Berzal & Alberto Garcia, 2024. "Beyond Trend Following: Deep Learning for Market Trend Prediction," Papers 2407.13685, arXiv.org.
- Xiaohui Victor Li & Francesco Sanna Passino, 2024. "FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial Markets," Papers 2407.10909, arXiv.org, revised Oct 2024.
- Qiqin Zhou, 2024. "Explainable AI in Request-for-Quote," Papers 2407.15038, arXiv.org.
- Yuan Li & Bingqiao Luo & Qian Wang & Nuo Chen & Xu Liu & Bingsheng He, 2024. "A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading," Papers 2407.09546, arXiv.org.
- Bonelli, Maxime, 2023. "Data-driven Investors," HEC Research Papers Series 1470, HEC Paris.
- Hurlin, Christophe & Pérignon, Christophe, 2023. "Machine Learning and IRB Capital Requirements: Advantages, Risks, and Recommendations," HEC Research Papers Series 1480, HEC Paris.
- D'Al, Francesco & Santarelli, Enrico & Vivarelli, Marco, 2024. "The KSTE+I approach and the advent of AI technologies: evidence from the European regions," GLO Discussion Paper Series 1473, Global Labor Organization (GLO).
- S'andor Juh'asz & Johannes Wachs & Jermain Kaminski & C'esar A. Hidalgo, 2024. "The Software Complexity of Nations," Papers 2407.13880, arXiv.org.
- Ding, Jeffrey, 2022. "Techno-industrial Policy for New Infrastructure: China’s Approach to Promoting Artificial Intelligence as a General Purpose Technology," Institute on Global Conflict and Cooperation, Working Paper Series qt1sb844ws, Institute on Global Conflict and Cooperation, University of California.
- Si, Yafei & Yang, Yuyi & Wang, Xi & An, Ruopeng & Zu, Jiaqi & Chen, Xi & Fan, Xiaojing & Gong, Sen, 2024. "Quality and Accountability of Large Language Models (LLMs) in Healthcare in Low- and Middle-Income Countries (LMIC): A Simulated Patient Study using ChatGPT," GLO Discussion Paper Series 1472, Global Labor Organization (GLO).