LLMbench: A Comparative Close Reading Workbench for Large Language Models
arXiv 2604.15508•32c2cf24d37799949127b2ca6421c0d820f53928622ada810ef573a95d2a5f80
AI ethicsAI governanceLLM evaluationPolymarketUMAaccessibility as defenseanthropomorphic deceptiondark patternsdelayed ground truthdrift detectionhuman-AI interactionlarge language modelslog-probability analysismodel interpretabilityon-chain dispute resolutionprediction marketsprivacy & health AIprobability visualizationproxy monitoring
Paper metadata
- arXiv ID
- 2604.15508
- 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
- 32c2cf24d37799949127b2ca6421c0d820f53928622ada810ef573a95d2a5f80
- Enrichment time
- 2026-04-20T07:23:52Z
- AI-assisted enrichment
- Yes
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