AINewsnow

ORQA: An Occupation-Realistic Question and Answer Framework for LLM Professional Knowledge

This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.12366v1 Announce Type: new Abstract: We present ORQA, a method for testing occupation-level knowledge in large language models. Prior methods either map abstract LLM skills to occupations via task definitions or utilize expert knowledge which is difficult to obtain at scale and expensive…

Read the full story at arXiv cs.CL ↗

Timeline · 1 report

  1. 2026-09-14 04:00 · arXiv cs.CL
    ORQA: An Occupation-Realistic Question and Answer Framework for LLM Professional Knowledge

More stories

  1. Trump announces a new 'AI Force,' but says he will not 'stifle' AI — Business Insider AI
  2. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  3. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  4. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  5. Introducing Astra for Law — OpenAI News
  6. Microsoft exec called AI scraping the “largest theft of labor in human history” — Ars Technica AI
  7. Google Joins OpenAI, Anthropic, Meta in Disclosing AI Hacks — Bloomberg AI
  8. Sources: Anthropic considers releasing a new AI model to counter OpenAI's momentum since Astra's launch, ahead of an IPO and after Amodei's call for a slowdown (Reuters) — Techmeme

Get the daily brief of stories like this at 6:30 every morning →