2 papers
cs.CL2025
DySK-Attn: A Framework for Efficient, Real-Time Knowledge Updating in Large Language Models via Dynamic Sparse Knowledge Attention
Kabir Khan, Priya Sharma, Arjun Mehta +2
Large Language Models (LLMs) suffer from a critical limitation: their knowledge is static and quickly becomes outdated. Retraining these massive models is computationally prohibiti…
cs.AI2025
Cognitive Weave: Synthesizing Abstracted Knowledge with a Spatio-Temporal Resonance Graph
Akash Vishwakarma, Hojin Lee, Mohith Suresh +4
The emergence of capable large language model (LLM) based agents necessitates memory architectures that transcend mere data storage, enabling continuous learning, nuanced reasoning…