Property graphs are powerful data models, yet they often suffer from inconsistencies caused by violations of integrity constraints. Existing repair strategies are either fully automated—struggling with ambiguous cases that require domain expertise—or human-driven, which lack scalability and overlook budget and user het...
Amedeo Pachera, Angela Bonifati, L. Lakshmanan et al.· Proceedings of the ACM on Ma...· 0 citations
GyroNovo, a framework with two main contributions that align missing-fragment recovery with decoder behavior while explicitly incorporating the mass relationships that underlie peptide fragmentation, is introduced.
Abdellah El Mekki, L. Lakshmanan, Muhammad Abdul-Mageed· 0 citations
This survey systematizes recent progress in tree-search-based reasoning, viewing inference as instance-specific optimization rather than decoding, and introduces a Unified Design Space spanning search topology, evaluation signals, and control dynamics to unify a fragmented literature.
Jia-Qi Wei, Xiang Zhang, Yue-Jin Yang et al.· 0 citations
Empirical results on RouterBench and SWE-Bench demonstrate that WR-Offline surpasses existing baselines in performance under a fixed budget and adheres more closely to budget constraints, and WR-Online achieves comparable performance to the baselines, while using substantially less exploration data.
Yi-Fei Li, Zi-Hui Gao, L. Lakshmanan· arXiv.org· 0 citations
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