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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, arXiv.org, number 2407.15339, Jul, revised Nov 2024.
- Hill, Brian, 2023, "Taking the help or going alone: ChatGPT and class assignments," HEC Research Papers Series, HEC Paris, number 1473, Jun, DOI: 10.2139/ssrn.4465833.
- Alex Kim & Maximilian Muhn & Valeri Nikolaev, 2024, "Financial Statement Analysis with Large Language Models," Papers, arXiv.org, number 2407.17866, Jul, revised Feb 2025.
- Felix Drinkall & Janet B. Pierrehumbert & Stefan Zohren, 2024, "Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs," Papers, arXiv.org, number 2407.17624, Jul, revised Jan 2025.
- Fernando Berzal & Alberto Garcia, 2024, "Beyond Trend Following: Deep Learning for Market Trend Prediction," Papers, arXiv.org, number 2407.13685, Jun.
- Xiaohui Victor Li & Francesco Sanna Passino, 2024, "FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial Markets," Papers, arXiv.org, number 2407.10909, Jul, revised Oct 2024.
- Qiqin Zhou, 2024, "Explainable AI in Request-for-Quote," Papers, arXiv.org, number 2407.15038, Jul.
- 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, arXiv.org, number 2407.09546, Jun.
- Bonelli, Maxime, 2023, "Data-driven Investors," HEC Research Papers Series, HEC Paris, number 1470, Feb, DOI: 10.2139/ssrn.4362173.
- Hurlin, Christophe & Pérignon, Christophe, 2023, "Machine Learning and IRB Capital Requirements: Advantages, Risks, and Recommendations," HEC Research Papers Series, HEC Paris, number 1480, Jun, DOI: 10.2139/ssrn.4483793.
- 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, Global Labor Organization (GLO), number 1473.
- S'andor Juh'asz & Johannes Wachs & Jermain Kaminski & C'esar A. Hidalgo, 2024, "The Software Complexity of Nations," Papers, arXiv.org, number 2407.13880, Jul, revised Jan 2026.
- 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, Institute on Global Conflict and Cooperation, University of California, number qt1sb844ws, Dec.
- 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, Global Labor Organization (GLO), number 1472.