新闻
From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers studied how language models route query information and retrieve knowledge across layers when answering questions using layerwise interventions.
- 为何重要
- Engineers building interpretability tools or optimizing LLM architectures need to understand how models process and retrieve stored knowledge internally.
- 注意
- Results vary significantly across model families; Gemma and Llama show different routing patterns, limiting generalizability of findings to all architectures.
- llm
- language model
- edge
- llama
- qwen
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