Enhancing Safety of Large Language Models via Embedding Space Separation

arXiv:2603.20206 · cs.CL, cs.AI · Submitted 2026-03-01 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-03-01

Updated: 2026-10-30

Terminology

• Embeddings — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Kullback-Leibler (KL) Divergence — 1× in this paper · explained in 6 episodes
• Language Models (LLMs) — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 9 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes

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