Towards Evolving Context Parameterization for Large Language Models
Context parameterization enables large language models (LLMs) to internalize contexts into reusable model parameters, avoiding repeated processing across subsequent queries. However, existing methods typically assume static contexts and lack explicit mechanisms for distinguishing validity states under continual updates...
Xiao Shi, Zhe-Rui Li, Yi-Ming Jiang et al.
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