3 papers
cs.AI2026
PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management
Yuxuan Zhao, Sijia Chen, Ningxin Su
Large language models (LLMs) have shown strong performance across diverse financial tasks, yet portfolio management (PM) remains poorly benchmarked. Existing benchmarks exhibit two…
cs.MA2026
When Does Multi-Agent Collaboration Help? An Entropy Perspective
Yuxuan Zhao, Sijia Chen, Ningxin Su
Multi-agent systems (MAS) have emerged as a prominent paradigm for leveraging large language models (LLMs) to tackle complex tasks. However, the mechanisms governing the effectiven…
q-fin.CP2026
PyFi: Toward Pyramid-like Financial Image Understanding for VLMs via Adversarial Agents
Yuqun Zhang, Yuxuan Zhao, Sijia Chen
This paper proposes PyFi, a novel framework for pyramid-like financial image understanding that enables vision language models (VLMs) to reason through question chains in a progres…