E2P projects pre-computed user embeddings into a single soft prefix token for frozen LLMs, reporting gains on four personalization tasks, though its reproduction scripts write zero embeddings.
Pens: A dataset and generic framework for personalized news headline generation
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Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models
E2P projects pre-computed user embeddings into a single soft prefix token for frozen LLMs, reporting gains on four personalization tasks, though its reproduction scripts write zero embeddings.