ALLOT: Budgeted Hybrid-Memory Routing for Knowledge Updates in LLMs

arXiv:2609.32344 · cs.AI · Submitted 2026-09-26 · Read on arXiv

cs.AI

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Accuracy — 28× in this paper · explained in 1 episode
• Adaptation — 12× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• SPRInG: Continual LLM Personalization via Selective Parametric Adaptation and Retrieval-Interpolated Generation
• Parametric Retrieval Augmented Generation
• Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
• Qwen3 Technical Report

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