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SPIN Processed News Frame: The Hype
MIITA: Memory-Induced Inference-Time Adaptation for Continual Learning with Small Language Models
MIITA is a new inference-time adaptation framework designed to enable continual learning in small language models without catastrophic forgetting, using memory-based semantic retrieval and gated hidden-state updates.
Spin 45% Claim Present in Source AI Risk Moderate
arXiv Artificial Intelligence
Jul 28, 2026
SPIN Processed News Frame: The Hype
Making Open-Source Text LLM Watermarks Durable Against Merging
Researchers propose 'Merge-Adversarial Training' to make watermarks embedded in open-source LLMs resistant to model merging—a common post-training modification that previously erased such watermarks.
Spin 70% Claim Present in Source AI Risk High
arXiv Computation and Language
Jul 24, 2026