Cross-Dataset Bloom Question Classification: Supervised Models and Prompted LLMs

arXiv 2606.13684•603d1df24eeb2530105ffb92b7268a7a75afbe2134a0497e8f9a140f188d838b
AI-safetyESGEdTechNLPalignmentbiasdataset-generalizationeducationevaluationexistential-riskfairnessgovernancehuman-subjectslarge-language-modelsmachine-learningpromptingtoolingtransit-planning

Paper metadata

arXiv ID
2606.13684
Version
Not specified by this published record
Category
Computer Science — Computers and Society (cs.CY)

The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.

Evidence and limitations

Source ID
arxiv_cs_cy
Record identifier
603d1df24eeb2530105ffb92b7268a7a75afbe2134a0497e8f9a140f188d838b
Enrichment time
2026-06-15T07:23:51Z
AI-assisted enrichment
Yes

This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.