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The Chinese University of Hong Kong, Shenzhen
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Hierarchical structures in documents can boost analysis accuracy by preserving context, leading to more effective filtering and question answering.
LLM agent memory architectures matter, and a systematic comparison reveals a new SOTA method by combining the best of existing approaches.
