Ang, A., Azimbayev, N., & Kim, A. (2026). The Self-Driving Portfolio: Agentic Structure for Institutional Asset Administration. arXiv, abs/2604.02279.
Bisconti, P., Galisai, M., Pierucci, F., Bracale, M., & Prandi, M. (2025). Past Single-Agent Security: A Taxonomy of Dangers in LLM-to-LLM Interactions. ArXiv, abs/2512.02682.
Cemri, M., et al. (2025). Why Do Multi-Agent LLM Methods Fail? ArXiv, abs/2503.13657.
Darwish, M., Hassanien, E., & Eissa, A. (2025). Inventory Market Forecasting: From Conventional Predictive Fashions to Massive Language Fashions. Computational Economics.
Eswaran, A., et al. (2026). CryptoAnalystBench: Failures in Multi-Software Lengthy-Type LLM Evaluation. ArXiv, abs/2602.11304.
Hajaghaie, A., & Thulasiram, R. (2025). Leveraging Massive Language Fashions and Retrieval-Augmented Technology for Enhanced Multi-Asset Portfolio Development. IEEE CiFer 2025.
He, C., et al. (2025). Hierarchical AI Multi-Agent Elementary Investing: Proof from China’s A-Share Market. ArXiv, abs/2510.21147.
Heng, R., et al. (2025). Leveraging LLMs for High-Down Sector Allocation in Automated Buying and selling. ArXiv, abs/2503.09647.
Kim, S., & Lee, Okay. (2025). Multi-Asset Multi-Agent Reinforcement Studying for Portfolio Administration. IEEE Entry, 13.
Lee, J., Kim, R., Yi, S., & Kang, J. (2020). MAPS: Multi-Agent Reinforcement Studying-based Portfolio Administration System. IJCAI 2020.
Raza, S., et al. (2025). TRiSM for Agentic AI. ArXiv, abs/2506.04133.
Reid, A., O’Callaghan, S., Carroll, L., & Caetano, T. (2025). Danger Evaluation Methods for Ruled LLM-based Multi-Agent Methods. ArXiv, abs/2508.05687.
Roig, J. (2025). How Do LLMs Fail In Agentic Eventualities? ArXiv, abs/2512.07497.
Tian, C., & Zhang, Y. (2024). Collaboration Dynamics and Reliability Challenges of Multi-Agent LLM Methods.
Tong, X., Wei, L., & Yan, Z. (2026). Reliability Challenges of LLM Brokers. Science and Expertise of Engineering, Chemistry and Environmental Safety.
Vinay, V. (2025). Failure Modes in LLM Methods. ArXiv, abs/2511.19933.
Voronina, A., et al. (2025). Generative AI-enhanced Sector-based Funding Portfolio Development. ArXiv, abs/2512.24526.
Vuković, D., Dekpo-Adza, S., & Matović, S. (2025). AI integration in monetary companies: a scientific overview. Humanities and Social Sciences Communications, 12.
Wang, B. (2025). Empirical Analysis of Massive Language Fashions for Asset-Return Prediction.
Winder, P., Hildebrand, C., & Hartmann, J. (2025). Biased echoes: Massive language fashions reinforce funding biases. PLOS One, 20.
Zhu, Okay., et al. (2025). The place LLM Brokers Fail and How They’ll Be taught From Failures. ArXiv, abs/2509.25370.
