ChildEval: When large language models meet children's personalities 事件

ChildEval: When large language models meet children's personalities arXiv:2605.27805v1 Announce Type: new Abstract: While LLMs enable personalized chatbots, their effectiveness in child-centered personalization remains unclear, as systematic evaluation of child-specific preferences is still lacking. To address this gap, we introduce ChildEval, a benchmark for evaluating LLMs' ability to infer and follow child-centered preferences in long-context conversations. ChildEval contains 29K synthesized