arXiv (All)
open access
Avoiding What Your Teacher Already Knows: Entity Familiarity for Deep-Search Distillation
Deep-search agents are commonly trained by distilling tool-use trajectories from stronger teacher models. However, structurally complex questions may remain relatively easy for teachers familiar with key entities in the underlying entity graph, resulting in lower search demand and weaker supervision
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Know Thyself, Teach Thyself: Internal Information Flow for Selective Self-Distillation#1131896
- Crows, Chimps, and the Human Recursion Engine#718368
- Conceptual control: On the feasibility of conceptual engineering#733959
- Screening on the integration and use of generative AI in university teaching in Ibero-America.#122164
- Screening on the integration and use of generative AI in university teaching in Ibero-America.#122163
Record · ID 1327841
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive