ConvMem: Convolutional Memory for Long-Context Reasoning
While Large Language Models (LLMs) have demonstrated impressive capabilities, they often struggle with extremely long contexts due to fixed context limits. To address this, sequential approaches like MemAgent extend the effective context by reading text in segments and iteratively updating a fixed-size memory. However,...
Hongming Zhang, Zhao-Zhen Gu, Fengshuo Bai et al.
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