long-term memory
Long-term memory in AI refers to the capability of a system to retain and recall information over extended periods. This is crucial for tasks that require the retention of knowledge beyond immediate contexts, allowing models to learn from past experiences.
- Nested Learning: The Illusion of Deep Learning Architectures
- Recurrent Memory for Online Interdomain Gaussian Processes
- StateSpaceDiffuser: Bringing Long Context to Diffusion World Models
- T1: A Tool-Oriented Conversational Dataset for Multi-Turn Agentic Planning
- Titans: Learning to Memorize at Test Time
- Video World Models with Long-term Spatial Memory