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Report NEP-AIN-2023-09-04
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:
- Steve J. Bickley & Ho Fai Chan & Bang Dao & Benno Torgler & Son Tran, 2023, "SurveyLM: A platform to explore emerging value perspectives in augmented language models' behaviors," Papers, arXiv.org, number 2308.00521, Aug.
- Jsowd, Kyldo, 2023, "Advances in Deep Learning for Meta-Analysis in AI-Driven Chatbots," OSF Preprints, Center for Open Science, number amdqz, Jul, DOI: 10.31219/osf.io/amdqz.
- Jin Liu & Xingchen Xu & Xi Nan & Yongjun Li & Yong Tan, 2023, ""Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets," Papers, arXiv.org, number 2308.05201, Aug, revised Jun 2025.
- Camilo R. Contreras & Pierre Valette-Florence, 2021, "Brands And Chatbots: An Overview Using Machine Learning," Post-Print, HAL, number hal-04153038, Nov.
- Yuwei Yin & Yazheng Yang & Jian Yang & Qi Liu, 2023, "FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models," Papers, arXiv.org, number 2308.00065, Jul.
- Saizhuo Wang & Hang Yuan & Leon Zhou & Lionel M. Ni & Heung-Yeung Shum & Jian Guo, 2023, "Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment," Papers, arXiv.org, number 2308.00016, Jul, revised Sep 2025.
- Oleksandr Romanko & Akhilesh Narayan & Roy H. Kwon, 2023, "ChatGPT-based Investment Portfolio Selection," Papers, arXiv.org, number 2308.06260, Aug.
- Nouhaila Innan & Muhammad Al-Zafar Khan & Mohamed Bennai, 2023, "Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models," Papers, arXiv.org, number 2308.05237, Aug.
- Matteo Prata & Giuseppe Masi & Leonardo Berti & Viviana Arrigoni & Andrea Coletta & Irene Cannistraci & Svitlana Vyetrenko & Paola Velardi & Novella Bartolini, 2023, "LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study," Papers, arXiv.org, number 2308.01915, Jul, revised Sep 2023.
- Brühl, Volker, 2023, "Generative Artificial Intelligence (GAI): Foundations, use cases and economic potential," CFS Working Paper Series, Center for Financial Studies (CFS), number 713, DOI: 10.2139/ssrn.4515593.