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EDRAC: Benchmarking Arabic Dialect Reading Comprehension

Dialectal Arabic (DA) remains under-resourced compared to Modern Standard Arabic (MSA), particularly for machine reading comprehension (MRC) and question answering (QA). Existing Arabic QA benchmarks primarily focus on formal written MSA or multiple-choice QA, with limited coverage of naturally spoken dialects. Here, we aim to bridge this gap. We introduce EDRAC, the first large-scale benchmark…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

Read the original at arxiv.org →

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A Developer's Checklist for AI Voice Agent Disclosure Compliance

If you're building or maintaining an AI voice agent right now, there's a decent chance your team hasn't formally mapped out what it legally has to say to callers — because until recently, mostly…

  • State clearly AI caller at call start, avoid euphemisms
  • Identify business purpose before collecting personal data
  • Provide non-blocking human escalation option at any time

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