Urgent.News

What's breaking now, across thousands of outlets.

AI

Grading the Unannotated: Insights from the WorkRB Skill Extraction Challenge at RecSys-HR 2026

Skill extraction benchmarks score models against a few human-annotated positives and treat every other skill in the vocabulary as equally wrong. At the scale of ESCO (13,939 skills) this binary view can reward models that rank the annotated positive high for the wrong reason, and hides semantically nonsensical predictions. The WorkRB Challenge at RecSys-HR 2026 replaces it with graded relevance:…

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 →

More in AI

Building a Production SEO Agent Stack with Claude Code: claude-seo Architecture Deep Dive

Context: Why Another SEO Tool When We Have Screaming Frog? When evaluating AgriciDaniel/claude-seo for integration into our content automation pipeline, the first question was obvious: why not just…

  • claude-seo architecture offers 26 sub-skills and 19 agents for SEO tasks
  • Claude's LLM context awareness enables agentic browsing protocol reasoning
  • Structured sub-skill delegation reduces token waste and improves output quality

More from Monday 2 November →