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

Reinforcement Learning with Comparative Evidence for Social Intelligence

Developing socially intelligent AI remains heavily dependent on human-annotated data, limiting the scale and breadth of social understanding models can acquire. Methods that derive training signals from unlabeled data offer a path beyond this dependence, but social predictions…

arXiv — cs.AIBy: Keane Ong, Yuriel Ryan, Sabri Boughorbel, Vladimir Necula, Jack Wei Lun Shi, Rui Mao, Roy Ka-Wei Lee, Adriel Kuek, Nancy F. Chen, Erik Cambria, Gianmarco Mengaldo, Paul Pu LiangOctober 6, 2026 (Oct 6)
Available in 1 languages

AI Summary & Key Takeaways

  • Developing socially intelligent AI remains heavily dependent on human-annotated data, limiting the scale and breadth of social understanding models can acquire
  • Methods that derive training signals from unlabeled data offer a path beyond this dependence, but social predictions…
Research
KZ·AI 4736
Инсайт дня

Reinforcement Learning with Comparative Evidence for Social Intelligence

Tags:#arXiv
Share:

Related stories

Back to list