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University of California, Irvine
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ReBound slashes privacy costs for interactive decision support by intelligently reusing past query results, enabling analysts to refine their insights without compromising data integrity.
Memory compaction in LLMs is fundamentally flawed, with critical information often discarded before it's needed, revealing a systemic inefficiency across all layers.