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标题为英语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.AI作者: 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 Liang2026年10月6日 (10月6日)
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AI 摘要:要点

  • 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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