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insight - Memory-Augmented Language Models
Larimar: Enhancing Large Language Models with Episodic Memory Control
Efficiently updating Large Language Models with episodic memory control enhances accuracy and speed without the need for re-training.
Enhancing Large Language Models with Explicit Read-Write Memory
MEMLLM, a novel method of enhancing large language models (LLMs) by integrating a structured and explicit read-and-write memory module, tackles the limitations of current LLMs in knowledge-intensive tasks and improves their performance and interpretability.
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