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cs.AI2026
LiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs
Haochen Luo, Yifan Li, Binh Minh An +4
Large language models (LLMs) and multi-agent systems (MAS) have shown promise in financial decision-making, yet existing evaluations focus on equity trading and primarily assess di…
cs.AI2026
LabGuard: Grounding Natural-Language Laboratory Rules into Runtime Guards for Embodied Laboratory Agents
Jingpu Yang, Fengxian Ji, Zhengzhao Lai +8
Scientific embodied agents are increasingly capable of carrying out laboratory procedures, but executing these procedures safely in dynamic laboratory environments remains challeng…
cs.AI2026
From Natural Language to Executable Option Strategies via Large Language Models
Haochen Luo, Zhengzhao Lai, Junjie Xu +4
Large Language Models (LLMs) excel at general code generation, yet translating natural-language trading intents into correct option strategies remains challenging. Real-world optio…