Mingyu Jin

Beyond Retrieval: Evidence Access and Event Aggregation in Agent Memory

Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory

Multimodal models and agents have emerged to enable AI systems to learn from and interact with the real world more like humans by integrating information across multiple modalities. However, enabling multimodal agents to continually acquire useful information from complex, heterogeneous multimodal data remains a signif...

When AI Meets Finance (StockAgent): A Benchmark for Simulating Large Language Model Behaviors in Controlled Trading Environments

Can AI Agents be benchmarked within strictly controlled simulated trading environments to investigate how external factors impact their collective trading behaviors? These factors, which frequently influence trading behavior, are critical elements in the quest to maximize investors’ profits. Our work aims to address th...