{"slug": "context-distillation-as-latent-memory-management", "title": "Context Distillation as Latent Memory Management", "summary": "Researchers have reframed context distillation as a latent memory management problem, distilling each context into an independent LoRA adapter to form a modular memory bank. The framework retrieves candidate memories for a given query, routes the query to the most suitable adapter, and uses a Self-Gating mechanism to decide whether to activate latent memory. This approach substantially outperforms baselines with retrieval while improving robustness by deactivating unnecessary latent memories.", "body_md": "arXiv:2605.28889v1 Announce Type: new\nAbstract: Context distillation compresses contextual information into model parameters, yet existing methods often ignore how multiple distilled latent memories should be stored, retrieved, and safely activated in non-oracle settings. We formulate context distillation as a latent memory management problem. We distill each context into an independent LoRA adapter, forming a modular memory bank that enables explicit memory selection. Given a query, our framework retrieves candidate memories, routes the query to the most suitable adapter, and uses a Self-Gating mechanism to decide whether latent memory should be activated. To improve efficiency, we further introduce cache sharing to reduce management overhead during inference. Experiments show that our method substantially outperforms baselines with retrieval, while Self-Gating improves robustness by deactivate unnecessary latent memories.", "url": "https://wpnews.pro/news/context-distillation-as-latent-memory-management", "canonical_source": "https://arxiv.org/abs/2605.28889", "published_at": "2026-05-29 04:00:00+00:00", "updated_at": "2026-05-29 04:18:13.397118+00:00", "lang": "en", "topics": ["machine-learning", "large-language-models", "artificial-intelligence", "neural-networks", "ai-research"], "entities": ["LoRA"], "alternates": {"html": "https://wpnews.pro/news/context-distillation-as-latent-memory-management", "markdown": "https://wpnews.pro/news/context-distillation-as-latent-memory-management.md", "text": "https://wpnews.pro/news/context-distillation-as-latent-memory-management.txt", "jsonld": "https://wpnews.pro/news/context-distillation-as-latent-memory-management.jsonld"}}