新闻
FriendBench: Benchmarking Dyadic Familiarity Inference in Humans and Multimodal Large Language Models
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- FriendBench benchmark tests whether AI models can infer if two people know each other from 20-second conversation clips across text, audio, and video.
- 为何重要
- Matters for engineers building social AI, emotion recognition systems, and multimodal models that need to understand human relationships from behavioral cues.
- 注意
- Top models match human accuracy but use different reasoning: models bias toward "stranger" while humans stay balanced. Visual behavior helps humans more than models.
- language model
- prompt
- inference
- benchmark
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