5 papers
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…
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…
MVISU-Bench: Benchmarking Mobile Agents for Real-World Tasks by Multi-App, Vague, Interactive, Single-App and Unethical Instructions
Zeyu Huang, Juyuan Wang, Longfeng Chen +4
Given the significant advances in Large Vision Language Models (LVLMs) in reasoning and visual understanding, mobile agents are rapidly emerging to meet users' automation needs. Ho…
HedgeAgents: A Balanced-aware Multi-agent Financial Trading System
Xiangyu Li, Yawen Zeng, Xiaofen Xing +2
As automated trading gains traction in the financial market, algorithmic investment strategies are increasingly prominent. While Large Language Models (LLMs) and Agent-based models…
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…