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papersSEP 10 04:00 UTC

New Preprint Introduces ConvMem, a Convolutional Memory Method for Long-Context Reasoning

An arXiv preprint proposes ConvMem, a convolutional memory technique aimed at helping large language models reason over documents that exceed their fixed context windows. The approach builds on prior sequential strategies such as MemAgent, which extend usable context by processing text in stages. The paper was posted to the AI and computational linguistics categories on arXiv.

long-context/llm/memory/research