arXiv Machine Learning July 27, 2026 By Miaobo Hu, Xiaobo Guo, Shuhao Hu, Bokun Wang, Rui Chen, Xin Wang, Daren Zha, Jun Xiao

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text

Read the original on arXiv Machine Learning →

arXiv:2607. 21610v1 Announce Type: cross Abstract: Schema graphs are an upstream bottleneck of schema-grounded information extraction and knowledge graph construction, yet most extraction systems assume the schema is already available.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction

Database Context Compression for Text-to-SQL on Real-World Large Databases

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