4 papers
Evolving Programmatic Skill Networks
Haochen Shi, Xingdi Yuan, Bang Liu
We study continual skill acquisition in open-ended embodied environments where an agent must construct, refine, and reuse an expanding library of executable skills. We introduce th…
PersonalPlan: Planning Multi-Agent Systems for Personalized Programming Learning
Zhiyuan Wen, Jiannong Cao, Peng Gao +4
Effective programming education requires personalized instruction adapted to diverse learner backgrounds. However, while LLM-based multi-agent systems (MAS) excel at complex planni…
TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge Graphs for Interpretable Stock Movement Prediction
Qianggang Ding, Haochen Shi, Luis Castejón Lozano +7
We present a Temporal Rule-Anchored Chain-of-Evidence (TRACE) on knowledge graphs for interpretable stock movement prediction that unifies symbolic relational priors, dynamic graph…
TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
Qianggang Ding, Haochen Shi, Jiadong Guo +1
The integration of Artificial Intelligence (AI) in the financial domain has opened new avenues for quantitative trading, particularly through the use of Large Language Models (LLMs…