Showing cs.AIShow all
3 papers · 1 filter
cs.AI2025
Profit Mirage: Revisiting Information Leakage in LLM-based Financial Agents
Xiangyu Li, Yawen Zeng, Xiaofen Xing +2
LLM-based financial agents have attracted widespread excitement for their ability to trade like human experts. However, most systems exhibit a "profit mirage": dazzling back-tested…
cs.AI2025
QuantAgents: Towards Multi-agent Financial System via Simulated Trading
Xiangyu Li, Yawen Zeng, Xiaofen Xing +2
In this paper, our objective is to develop a multi-agent financial system that incorporates simulated trading, a technique extensively utilized by financial professionals. While cu…
cs.AI2025
RTBAgent: A LLM-based Agent System for Real-Time Bidding
Leng Cai, Junxuan He, Yikai Li +5
Real-Time Bidding (RTB) enables advertisers to place competitive bids on impression opportunities instantaneously, striving for cost-effectiveness in a highly competitive landscape…