Astana time
AI QAZAQSTANKZ · AIBeta

Smart portal about artificial intelligence and high technology in Kazakhstan

Research1 min read

From the original source:

arXiv — cs.AI

Read full article at arXiv — cs.AI

This material was compiled from public sources. If its publication affects your rights → Request removal

MagicBeanStalk: Escaping the RLVR Zero Advantage Trap with Recursive Data Synthesis

arXiv:2610.12659v1 Announce Type: new Abstract: Data-centric scaling of RLVR has focused on collecting or generating verifiable training problems. However, corpus size alone does not determine whether the dataset provides a useful learning signal for a target policy. To guide…

arXiv — cs.AIBy: Ximing Lu, Aviral Kumar, Jan Kautz, Yejin Choi, David AcunaOctober 12, 2026 (Oct 12)
Available in 4 languages

AI Summary & Key Takeaways

  • arXiv:2610.12659v1 Announce Type: new Abstract: Data-centric scaling of RLVR has focused on collecting or generating verifiable training problems
  • However, corpus size alone does not determine whether the dataset provides a useful learning signal for a target policy
Research
KZ·AI 3FD1
Инсайт дня

MagicBeanStalk: Escaping the RLVR Zero Advantage Trap with Recursive Data Synthesis

Share:

Related stories

Back to list