CAIM, a cognitive-AI-inspired memory framework with ontology-based tagging and relevance filtering, improves retrieval and response correctness for LLM assistants on the Generated Virtual Dataset compared with MemoryBank and Think-in-Memory baselines.
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CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents
CAIM, a cognitive-AI-inspired memory framework with ontology-based tagging and relevance filtering, improves retrieval and response correctness for LLM assistants on the Generated Virtual Dataset compared with MemoryBank and Think-in-Memory baselines.