Memory-Induced Inference-Time Adaptation for continual learning with small language models
Read the original at arxiv.org→arXiv:2607.22556v1 Announce Type: new Abstract: Continual learning (CL) is essential for small language models (SLMs) to adapt to evolving real-world needs in resource-constrained deployments. However, directly...
Original headline: "MIITA: Memory-Induced Inference-Time Adaptation for Continual Learning with Small Language Models"
Coverage timeline
- Jul 28, 04:00 UTC arXiv cs.AI lead source MIITA: Memory-Induced Inference-Time Adaptation for Continual Learning with Small Language Models
- Jul 28, 04:00 UTC arXiv cs.AI Temporal Context Reinstatement Drives Episodic-Like Order Memory in Long-Context Language Models