Fan Out 还是 Relay？面向 LLM 智能体查询孤岛数据表的归属感知路由

View PDF HTML (experimental)

Abstract:Inside organizations, a question's data often sit with several owners, who query their own tables but never hand them over. An LLM coordinator can fan out, sending the question to every owner at once, or relay, querying owners in turn and reusing earlier rows. We show that neither is safe in advance, because data ownership decides which one is right. Across thirteen settings on PeopleJoin and BIRD with three model families, fan-out is more accurate in twelve on questions one owner can answer, yet answers at most 4.3% of those joining two owners' tables. The flip follows ownership, not query shape: on BIRD two-table joins, fan-out answers 32-44% when one owner holds both and 1-4% otherwise. Relay wins by conditioning on returned rows, and hiding them from an otherwise identical planner cuts two-owner accuracy from 23.2% to 5.1%. Since ownership is public, we propose Ownership-Aware Routing (OAR), which drafts a schema-only SQL query, counts the owners whose tables it joins, and routes the question before any private row is read. In ten settings OAR is never significantly less accurate than the best fixed protocol, and beats every fixed protocol on PeopleJoin, by up to 9.3 points on held-out organizations.

Comments:	19 pages, 4 figures, 14 tables
Subjects:	Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA)
ACM classes:	I.2.7; I.2.11; H.2.4
Cite as:	arXiv:2610.18157 [cs.CL]
	(or arXiv:2610.18157v1 [cs.CL] for this version)
	https://doi.org/10.48550/arXiv.2610.18157 arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Zhexi Feng [view email]
[v1] Tue, 13 Oct 2026 11:01:37 UTC (207 KB)