CogMem: Improving LLM Reasoning with Cognitive Memory
Published:Dec 16, 2025 06:01
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“CogMem is a cognitive memory architecture for sustained multi-turn reasoning in Large Language Models.”