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arXiv — cs.AI

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标题为英语PRAGMA: Evaluating Personalized Guidance with Memory Alignment in Lifelong Conversations

arXiv:2609.09664v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as personalized assistants that interact with users over extended periods of time. As conversations grow longer, relying on full interaction histories becomes increasingly…

arXiv — cs.AI作者: Hyojeong Yu, Hyukhun Koh, Minsung Kim, Yunah Jang, Kyomin Jung2026年9月10日 (9月10日)
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  • arXiv:2609.09664v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as personalized assistants that interact with users over extended periods of time
  • As conversations grow longer, relying on full interaction histories becomes increasingly…
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PRAGMA: Evaluating Personalized Guidance with Memory Alignment in Lifelong Conversations

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