3 papers
cs.AI2026
Constraint-Aware Synthetic Tabular Data Generation via Inter-Column Constraint Discovery with LLM Agents
Jianxing Zhao, Mao Guan, Dongyu Liu
Generating structurally valid synthetic tabular data remains difficult: outputs with high statistical fidelity and downstream utility can still violate semantically meaningful doma…
q-fin.ST2026
Leakage-Aware Benchmarking of LLM Forecasting: Real-Time Nowcasts as the Decision-Time Input for Macro Factor Ranking
Mao Guan, Qian Chen
Forecasting benchmarks for retrieval-augmented LLMs routinely confound model capability with information leakage: features labeled with a target's timestamp are often not observabl…
q-fin.ST2024
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Hongyang Yang, Boyu Zhang, Neng Wang +8
As financial institutions and professionals increasingly incorporate Large Language Models (LLMs) into their workflows, substantial barriers, including proprietary data and special…