Papers by Michael Gubanov

1 papers
Hemolix.TabGen: Optimized Table Generation from Documents (2026.acl-industry)

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Challenge: Modern Data Lakes contain vast and heterogeneous document collections, making table generation difficult.
Approach: They propose a scalable LLM-based table generation system that comprehends documents and generates Bi-dimensional tables based on the entire document content.
Outcome: The proposed system generates bi-dimensional tables from documents across multiple domains.

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