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APRiL: An Open-ended Benchmark for Chinese Social Awareness in Large Language Models

arXiv:2610.20785v1 Announce Type: new Abstract: 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. However, existing benchmarks oft…

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  1. 2026-10-16 04:00 · arXiv cs.CL
    APRiL: An Open-ended Benchmark for Chinese Social Awareness in Large Language Models

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