CogMem: Improving LLM Reasoning with Cognitive Memory

This ArXiv article introduces CogMem, a new cognitive memory architecture designed to enhance the multi-turn reasoning capabilities of Large Language Models. The research likely explores the architecture's efficiency and performance improvements compared to existing memory mechanisms within LLMs.

• •CogMem aims to improve LLMs' ability to reason over multiple turns.
• •The architecture focuses on cognitive memory principles.
• •The research is published on ArXiv and likely focuses on technical details and evaluation.