From Flat Storage to Structured Graphs: Adaptive Memory for Domain-Specific LLM Reasoning
Large language models (LLMs) achieve strong general performance but struggle in specialized domains requiring structured, evolving knowledge. Existing context adaptation frameworks, such as Dynamic Cheatsheet and Agentic Context Engineering (ACE), accumulate domain knowledge as flat bullet-point lists, ignoring the rel...