Grounding
Grounding refers to the process of linking symbols, language, or abstract representations to real-world perceptions, experiences, or concrete data. The concept is widely applied in cognitive science, linguistics, and artificial intelligence. In cognitive science, it denotes the connection between meaning and embodied experience. In AI, it specifically refers to anchoring model outputs to external knowledge sources or factual data in order to reduce hallucinations and improve the reliability and verifiability of generated responses.
Timeline (last 90 days)
Grounding refers to constraining the output of large language models by providing external authoritative knowledge to prevent them from generating hallucinations.
Grounding prompts that instruct the model to answer only based on provided documents and cite the relevant passages can greatly reduce the probability of fabrication, but cannot eliminate it entirely.
All Facts (3)
Grounding（接地）是对抗大语言模型幻觉的核心工程手段，通过为模型关键输出绑定可验证的真实数据源来限制幻觉影响
85%UnverifiedGrounding refers to constraining the output of large language models by providing external authoritative knowledge to prevent them from generating hallucinations.
50%UnverifiedGrounding prompts that instruct the model to answer only based on provided documents and cite the relevant passages can greatly reduce the probability of fabrication, but cannot eliminate it entirely.
50%