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Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large Language Models

Multi-modal large language models (MLLMs) have shown great progress as versatile AI assistants capable of...

MemOS: A Memory-Centric Operating System for Evolving and Adaptive Large Language Models

LLMs are increasingly seen as key to achieving Artificial General Intelligence (AGI), but they face...

Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs

arXiv:2601.02931v1 Announce Type: new Abstract: Autoregressive LLMs perform well on relational tasks that require linking...

MEMO: A Modular Framework for Training a Dedicated Memory Model on New Knowledge Without Modifying LLM Parameters

Large language models become static after pretraining. Their knowledge does not update as the world...

MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents

arXiv:2506.21605v1 Announce Type: new Abstract: Recent works have highlighted the significance of memory mechanisms in...

MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs

Handling extremely long documents remains a persistent challenge for large language models (LLMs). Even with...

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