activity
20242026
collaborators

9 papers

cs.AI2026

BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation

Xin Guo, Rongjunchen Zhang, Guilong Lu +4

Large language models are becoming increasingly significant in financial applications. Nevertheless, prevailing benchmarks are largely dependent on simulated or generic data, which…

cs.LG2026

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research

Wanghan Xu, Shuo Li, Tianlin Ye +48

AI coding agents are increasingly used for scientific work, but their end-to-end autonomous research capability remains difficult to verify. We present ResearchClawBench, a benchma…

q-fin.ST2026

QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining

Jun Han, Shuo Zhang, Wei Li +14

Financial markets are noisy and non-stationary, making alpha mining highly sensitive to backtest noise and regime shifts. While recent agentic frameworks improve automation, they o…

cs.CL2026

Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning

Zhaowei Liu, Xin Guo, Zhi Yang +14

In recent years, general-purpose large language models (LLMs) such as GPT, Gemini, Claude, and DeepSeek have advanced at an unprecedented pace. Despite these achievements, their ap…

cs.CR2026

Spider-Sense: Intrinsic Risk Sensing for Efficient Agent Defense with Hierarchical Adaptive Screening

Zhenxiong Yu, Zhi Yang, Zhiheng Jin +19

As large language models (LLMs) evolve into autonomous agents, their real-world applicability has expanded significantly, accompanied by new security challenges. Most existing agen…

q-fin.GN2026

UniFinEval: Towards Unified Evaluation of Financial Multimodal Models across Text, Images and Videos

Zhi Yang, Lingfeng Zeng, Fangqi Lou +16

Multimodal large language models are playing an increasingly significant role in empowering the financial domain, however, the challenges they face, such as multimodal and high-den…