https://arxiv.org/abs/2402.13598 User-LLM: Efficient LLM Contextualization with User EmbeddingsLarge language models (LLMs) have achieved remarkable success across various domains, but effectively incorporating complex and potentially noisy user timeline data into LLMs remains a challenge. Current approaches often involve translating user timelinesarxiv.orgUser의 기록을 단순 text로 넘겨주면 성능이 떨어진다 => emb..
