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arXiv — cs.AI

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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)
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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…
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Reinforcement Learning with Comparative Evidence for Social Intelligence

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