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Scaling Laws for Hypernetwork-Based Knowledge Injection in Large Language Models

13 upvotes · 21 JUL 2026 · Nischay Dhankhar, Dos Baha, Abulhair Saparov

This paper investigates using hypernetworks for large-scale knowledge injection into language models, a technique that can improve their ability to answer factual questions. Practitioners may care because it could lead to more accurate and scalable language models for applications like customer service or question-answering systems.

hypernetworkslarge language modelscontinual learningknowledge injectionscalability