Unlocking Latent Personalization in LLMs

arXiv:2609.33182 · cs.AI · Submitted 2026-09-27 · Read on arXiv

cs.AI

Submitted: 2026-09-27

Updated: 2026-09-27

Project page: https://pasalab.github.io/LatentPersonal

Terminology

• Adaptation — 146× in this paper · explained in 1 episode
• Personalization — 137× in this paper · explained in 2 episodes
• Latent Representation — 36× in this paper · explained in 2 episodes
• Latent Space — 15× in this paper · explained in 7 episodes
• Alignment — 11× in this paper · explained in 1 episode
• Benchmark — 10× in this paper · explained in 2 episodes
• Fine-Tuning — 9× in this paper · explained in 5 episodes
• LoRA Adaptation — 8× in this paper · explained in 2 episodes
• Content Personalization — 7× in this paper
• Parameter-Efficient Fine-Tuning — 7× in this paper · explained in 2 episodes
• Presentation Personalization — 6× in this paper
• Regularization — 6× in this paper · explained in 3 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Latent Representations — 5× in this paper · explained in 3 episodes
• Hypernetwork — 4× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Activation Function — 2× in this paper · explained in 1 episode
• KL Regularization — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Parameter-Efficient Fine-Tuning (PEFT) — 2× in this paper · explained in 4 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• In-Context Learning (ICL) — 1× in this paper · explained in 5 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• PersonaMem and Persona-Iterative-Responses — 1× in this paper
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Aligning LLMs by Predicting Preferences from User Writing Samples
• Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization
• The Llama 3 Herd of Models
• LoRA: Low-Rank Adaptation of Large Language Models
• PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
• Auto-Encoding Variational Bayes
• Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
• Large Language Models: A Survey
• The information bottleneck method
• Finetuned Language Models Are Zero-Shot Learners

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