1 citations · 2 across the 4 of their papers we have counts for
5 papers
FinNextAssist: Towards Professional Financial Deep Research Assistant
Xiangyu Li, Fengbin Zhu, Xuan Yao +9
Deep Research (DR) agents have demonstrated strong capabilities in complex, research-oriented tasks through autonomous planning, iterative retrieval, multi-step reasoning, and stru…
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…
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…
VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool
Yan Wang, Yawen Zeng, Jingsheng Zheng +3
Multimodal large language models (MLLMs) are flourishing, but mainly focus on images with less attention than videos, especially in sub-fields such as prompt engineering, video cha…