Internalizer: Portable Context-to-Parameter Mapping for Very Large Language Models

arXiv:2610.11715 · cs.AI, cs.CL, cs.LG · Submitted 2026-10-08 · Read on arXiv

cs.AI, cs.CL, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Comments: 14 pages, 3 figures, 1 table

Code: https://github.com/QwenLM/Qwen3.8-Flash-Next

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Hypernetwork — 51× in this paper · explained in 3 episodes
• Accuracy — 47× in this paper · explained in 1 episode
• Distillation — 13× in this paper · explained in 2 episodes
• Decode — 9× in this paper · explained in 2 episodes
• Fine-Tuning — 8× in this paper · explained in 5 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Model-Agnostic — 5× in this paper · explained in 2 episodes
• Perplexity — 5× in this paper · explained in 3 episodes
• In-Context Learning — 3× in this paper · explained in 7 episodes
• Core — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• KV cache — 1× in this paper · explained in 4 episodes
• Knowledge Distillation — 1× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 8 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Self-Distillation — 1× in this paper · explained in 7 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
• Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
• Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Revisiting the Platonic Representation Hypothesis: An Aristotelian View
• HyperNetworks
• Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
• Distilling the Knowledge in a Neural Network
• The Platonic Representation Hypothesis
• StreamAdapter: Efficient Test Time Adaptation from Contextual Streams
• LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents
• A Survey on Efficient Inference for Large Language Models

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