Author

Zhongtian Sun

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#artificial intelligence Preprint Oct 2026

Knowledge or Calculator? Decomposing the Skill Premium in Verifiable Financial Agent Workflows

Financial AI agents must do more than retrieve facts: investment workflows require correct quantitative execution, reliable use of procedural resources, and auditable structured outputs. We introduce FinSkillBench, an evaluation suite of 2,603 point in time episodes across 12 subtasks in portfolio construction, risk ma...

Jermyn Zhen Yong Bek, Qiang-Bok Zhuang, Zhong-Tian Sun · 0 citations

#machine learning Preprint Aug 2026

JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution

To the authors' knowledge, JIT-Agent is the first model purpose-built for just-in-time harness generation, establishing harness intelligence as a trainable, transferable, and compounding dimension of agent capability orthogonal to model scaling.

Gui-Bin Zhang, Leo Lu, Fang-Zhou Xie et al. · 14 citations

#artificial intelligence Preprint Jun 2026

FinSkillBench: Evaluating AI Agents and Domain Skills for Investment Management

Results show that in investment management agents, access to reliable procedural skills can be as important as model choice, while naive self-generation of skills is often ineffective.

Jermyn Zhen Yong Bek, Zhuang Qiang Bok, Zhongtian Sun · 0 citations