EduIllustrate: Towards Scalable Automated Generation Of Multimodal Educational Content
arXiv 2604.05005•8390b52b9f429ba49f166ef5bcaa436fcda579b9ddfaf104bff573f5dfa02e6f
AI energy/waste heatAI governanceAI safetyNigeriaUkraine conflictalgorithmic monocultureanime/cultural analyticsartificial intelligencebenchmarksdataset analysisdisinformation/polarizationeducation technologyenvironmental impactgenerative AIlarge language modelsmodel alignmentmulti-agent systemsmultimodal AIpeer reviewprivacyregulationscientific productivityself-improving AIsocial media analysisvalidation frameworks
Paper metadata
- arXiv ID
- 2604.05005
- Version
- Not specified by this published record
- Category
- Computer Science — Computers and Society (cs.CY)
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Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 8390b52b9f429ba49f166ef5bcaa436fcda579b9ddfaf104bff573f5dfa02e6f
- Enrichment time
- 2026-04-08T07:23:50Z
- AI-assisted enrichment
- Yes
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