Human-Centric Intelligence in the Era of Foundation Models: A Survey

• 类型：arxiv
• 标识：2608.18184
• 链接：https://arxiv.org/abs/2608.18184
• 主分类：evaluation
• 形态：survey
• TLDR：Human-centric intelligence is evolving in the foundation-model era, with growing emphasis on scale, transferability, and general-purpose modeling. Yet it has not fully integrated with foundation models to achieve the comparable progress seen in them. More importantly, recent advances across this broad landscape remain fragmented across tasks, modalities, and research communities, leaving their intrinsic conceptual and methodological connections unclear. To bridge these divides and rethink human-centric intelligence in the foundation-model era, we introduce a full-spectrum human context taxonom
• 待LLM分类：否
• 标题中文：基础模型时代下以人为本的智能：综述
• TLDR中文：以人为本的智能正在基础模型时代演进，越来越强调规模、可迁移性与通用建模。然而，它尚未与基础模型充分融合以取得可比拟的进展。更重要的是，这一广阔领域的近期进展仍分散在不同任务、模态与研究社区之间，其内在的概念与方法学联系尚不清晰。为弥合这些分歧并重新思考基础模型时代的以人为本智能，我们提出一套全谱系的人类上下文分类法
• 成熟度：research
• 场景：foundation-models、human-centric-intelligence
• 来源文件：
• /inbox/tom/_candidates/2026-08-25-agent-rag-longcontext-candidates.json
• /inbox/tom/_candidates/2026-08-25-agent-memory-tool-use-candidates.json