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Towards Evolving Context Parameterization for Large Language Models

arXiv cs.CL ↗ · 2026-09-15 Cached

This paper introduces the MUSE task to evaluate context updating in LLMs and proposes PLUME, a training-free method that improves performance in sequential evolution settings with significant gains on the MUSE-Bench benchmark.

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