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cs.AI2026
Decoupling Memory from Context: Structured Memory for Token-Efficient Test-Time Continual Learning
Yehya Farhat, Michael Desmond, Anastasios Kyrillidis
Large language models (LLMs) are increasingly deployed in enterprise, scientific, and medical applications, where agents must incorporate domain-specific knowledge and adapt from e…
cs.AI2026
GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation
Michael Menezes, Anastasios Kyrillidis
While Mamba2's expanded state dimension enhances temporal modeling, it incurs substantial inference overhead that saturates bandwidth during autoregressive generation. Standard pru…