From Knowledge Access to Source Learning: Developing Source-Specific Competence

类型：arxiv
标识：2610.02150
链接：https://arxiv.org/abs/2610.02150
主分类：agent
形态：method
TLDR：Large language model (LLM) agents increasingly rely on persistent external sources to solve sequences of knowledge-intensive tasks. Existing methods improve how source content is accessed and organized, while agent-memory systems preserve reusable knowledge from prior interactions, but repeated use of the same source is still largely treated as repeated access rather than an opportunity to progressively improve understanding of that source. We study source learning: developing reusable source-specific competence over a persistent authoritative source. We represent this competence with a persis
待LLM分类：否
来源文件：
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arXiv

2610.02150

TLDR

Large language model (LLM) agents increasingly rely on persistent external sources to solve sequences of knowledge-intensive tasks. Existing methods improve how source content is accessed and organized, while agent-memory systems preserve reusable knowledge from prior interactions, but repeated use of the same source is still largely treated as repeated access rather than an opportunity to progressively improve understanding of that source. We study source learning: developing reusable source-specific competence over a persistent authoritative source. We represent this competence with a persis

From Knowledge Access to Source Learning: Developing Source-Specific Competence

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