2 papers
cs.AI2026
LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting
Yufei Chen, Yiran Zhao, Xiaogang Xu +3
LLM-based forecasting systems have improved on real-world tasks such as financial markets and sports outcomes, largely through stronger search and tool use. Many systems still ask…
cs.AI2026
ReguSim: Evaluating LLM Agent Rule Grounding in Financial Compliance
Yiyang Luo, Yihang Jiang, Qijun Xie +4
LLM agents in financial markets may cite rules yet still submit orders that violate executable constraints or misread surveillance evidence. We introduce ReguSim, a controlled fina…