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Static profiles lead to identity essentialism in LLMs, but a new longitudinal memory framework reveals a path to richer, more diverse social simulations.
Ranking systems can achieve greater accuracy and stability by leveraging structural relationships in permutations, as demonstrated by the SRPO framework.
Context-aware ASR corrections can be dramatically improved by leveraging a dynamically structured ontology memory, leading to more accurate and relevant corrections in long conversations.
