APRiL: An Open-ended Benchmark for Chinese Social Awareness in Large Language Models
Large language models are increasingly used in social interactions, where appropriate responses require recognizing implicit cues, inferring mental states, identifying conflicts, and considering potential consequences.
By Tian Lan, Han Zhang, Shanshan Wang, Yahan Yu, Jiang Li, Yugo MurawakiarXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 16, 2026.
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