Internalizer: Portable Context-to-Parameter Mapping for Very Large Language Models
cs.AI, cs.CL, cs.LG
Submitted: 2026-10-08
Updated: 2026-10-08
Code: https://github.com/QwenLM/Qwen3.8-Flash-Next
Terminology
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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