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papersSEP 10 04:00 UTC

PRAGMA Benchmark Evaluates Personalized Guidance with Memory Alignment in Lifelong Conversations

A new arXiv paper introduces PRAGMA, a benchmark for measuring how well large language models align stored user memory with the advice they deliver in long-running conversations. The work targets a key weakness of personalized assistants: as dialogue histories grow, working from complete logs becomes inefficient and error-prone. PRAGMA offers a standardized way to evaluate memory use in lifelong conversational systems.

arXiv PRAGMA lifelong conversations memory alignment personalized assistants personalized guidance

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arXiv cs.AIPRAGMA: Evaluating Personalized Guidance with Memory Alignment in Lifelong Conversations ↗SEP 10 04:00 UTC