Junbo Huang

Overlap-based metrics inflate reliability scores in narrative graph annotation, while locally-constrained graph representations can significantly reduce annotation variability.

Current LLM memory systems falter when faced with the continuous, machine-generated interaction streams typical of real-world agentic applications, highlighting a critical need for causality-aware and tool-augmented memory architectures.