Researchers have introduced APRiL, a new benchmark designed to evaluate the social awareness of large language models, specifically in Chinese contexts. The benchmark comprises 2,196 evaluation instances across six categories and two tasks: Social Scenario Analysis, which assesses understanding of social cues and conflicts, and Socially Aware Response, which tests the ability to generate appropriate replies. Experiments with 12 models demonstrated a consistent gap between understanding and response generation, indicating that while improved scenario analysis can enhance responses, poor analysis may degrade them. AI
IMPACT This benchmark aims to improve the nuanced social understanding and response generation capabilities of LLMs in Chinese contexts.
RANK_REASON The cluster contains an academic paper introducing a new benchmark for evaluating LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
- APRiL
- arXiv
- Hugging Face
- large language models
- Social Awareness Evaluation Instances
- Socially Aware Response
- Social Scenario Analysis
- Chinese
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