Papers by Shuqi Cao

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Challenge:	Existing memory systems rely on vector similarity for retrieval, resulting in bloated evidence sets . existing systems produce little additional recall, but this approach lowers retrieval precision .
Approach:	They propose a two-level event-turn memory system that uses event summaries as semantic anchors to predict which related turns are worth reading.
Outcome:	The proposed system achieves the best F1 on four of five question categories and improves adversarial F1 from 0.54 to 0.78 over A-Mem while retrieving an order of magnitude fewer turns.