Report NEP-AIN-2025-03-24

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:

• Item repec:osf:osfxxx:zxf5y_v1 is not listed on IDEAS anymore

• Yuzhi Hao & Danyang Xie, 2025. "A Multi-LLM-Agent-Based Framework for Economic and Public Policy Analysis," Papers 2502.16879, arXiv.org.
• Zexin Ye, 2025. "Algorithmic Collusion under Observed Demand Shocks," Papers 2502.15084, arXiv.org, revised May 2025.
• Item repec:osf:osfxxx:uczaw_v1 is not listed on IDEAS anymore

• Item repec:osf:osfxxx:h6a7c_v1 is not listed on IDEAS anymore

• Kevin He & Ran Shorrer & Mengjia Xia, 2025. "Human Misperception of Generative-AI Alignment: A Laboratory Experiment," Papers 2502.14708, arXiv.org, revised Jun 2025.
• Item repec:osf:osfxxx:cekm9_v1 is not listed on IDEAS anymore

• Item repec:osf:osfxxx:gpyub_v1 is not listed on IDEAS anymore

• Thomas Henning & Siddhartha M. Ojha & Ross Spoon & Jiatong Han & Colin F. Camerer, 2025. "LLM Trading: Analysis of LLM Agent Behavior in Experimental Asset Markets," Papers 2502.15800, arXiv.org, revised Apr 2025.
• Item repec:osf:osfxxx:p98zv_v1 is not listed on IDEAS anymore

• Item repec:osf:osfxxx:ahkd3_v1 is not listed on IDEAS anymore

• Guojun Xiong & Zhiyang Deng & Keyi Wang & Yupeng Cao & Haohang Li & Yangyang Yu & Xueqing Peng & Mingquan Lin & Kaleb E Smith & Xiao-Yang Liu & Jimin Huang & Sophia Ananiadou & Qianqian Xie, 2025. "FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading," Papers 2502.11433, arXiv.org, revised Feb 2025.
• Xiangyu Li & Yawen Zeng & Xiaofen Xing & Jin Xu & Xiangmin Xu, 2025. "HedgeAgents: A Balanced-aware Multi-agent Financial Trading System," Papers 2502.13165, arXiv.org.
• Yan Zhang & Lin Chen & Yixiang Tian, 2025. "A Method for Evaluating the Interpretability of Machine Learning Models in Predicting Bond Default Risk Based on LIME and SHAP," Papers 2502.19615, arXiv.org.
• Jian Chen & Guohao Tang & Guofu Zhou & Wu Zhu, 2025. "ChatGPT and Deepseek: Can They Predict the Stock Market and Macroeconomy?," Papers 2502.10008, arXiv.org.
• Ankur Sinha & Chaitanya Agarwal & Pekka Malo, 2025. "FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data," Papers 2502.18471, arXiv.org.
• Jibang Wu & Chenghao Yang & Simon Mahns & Yi Wu & Chaoqi Wang & Hao Zhu & Fei Fang & Haifeng Xu, 2025. "Grounded Persuasive Language Generation for Automated Marketing," Papers 2502.16810, arXiv.org, revised Jun 2025.
• Saint-Paul, Gilles, 2025. "Artificial Intelligence, the Collapse of Consumer Society, and Oligarchy," IZA Discussion Papers 17682, Institute of Labor Economics (IZA).