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TQTS-BENCH is introduced, a multi-syntax benchmark for evaluating text-to-query capabilities over TSDBs, and error analysis reveals that this performance gap mainly stems from the heterogeneous query syntaxes across different TSDBs, misinterpretation of time-specific intents, and incorrect schema linking.
Self-Indexing Attention is proposed, a training-free framework built on a shared transform-domain sign-magnitude representation that provides a reusable token-level index for grouped prefill selection and decode retrieval, while the same representation remains compatible with external KV-cache compression without separ...
This work proposes RayLift, a framework that uses stereo geometry as a metric reference while incorporating complementary ray evidence to recover reliable 3D structures adaptively and achieves competitive performance and consistently outperforms existing methods.
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