This work argues that text-to-SQL fails on real enterprise data and must be dramatically subsetted to achieve reliable results, and introduces RUBICON, a system that embodies this vision and surpasses both LOTUS and Palimpzest on a semantic query benchmark.
This work proposes agentic data cracking, a method that structures unstructured data adaptively and speculatively as a byproduct of reasoning itself, a first step toward next-generation data infrastructure for agentic reasoning over unstructured data.
This work introduces latent equivalence learning, a identity-factorized, query-conditioned routing system that materializes the relevant dataset-specific evidence for downstream reasoning, allowing the agent to operate over an already organized evidential state rather than reconstructing cross-schema structure at every...
Git4Data is presented, a database-native version-control layer for agentic workflows that sheds light on how relational databases can better support AI agents through efficient versioning.
Hongshen Gou, Zu-Yu Zhang, Yu-Ze Sun et al.· 0 citations
Existing computer-use agent benchmarks do not fully evaluate agents acting as assistants. A useful assistant retrieves information across complex, multi-step workflows, synthesizes it into artifacts (documents, presentations, spreadsheets), and navigates program interfaces to produce a coherent final product. Such work...
Alexander Gill, Md Farhan Ishmam, X. Nguyen et al.· 0 citations
This work presents ALTK-Evolve, a reference implementation of memory middleware for self-improving agents, and uses it to motivate a broader research agenda for future memory middleware.
K. Jayaram, Vatche Isahagian, Vinod Muthusamy et al.· 0 citations
This work represents agentic data as a common factorized object $(E,q,\tau,v)$, comprising an environment specification, task signal, interaction realization, and optional verifier, and formulate generation as constrained distribution design through the Accuracy-Complexity-divErsity (ACE) lens.
Xing-Shan Zeng, Zishan Xu, Bo-Ju Zhang et al.· 2 citations
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