arXiv · cs.AI · Zongyou Yang, Yinghan Hou, Xiaokun Yang2026-11-03 13:00 · 10 小时前模型评分49

NEIGHBOR：面向社区居民服务的大语言模型（LLM，Large Language Model）智能体如何对齐服务行为与证据使用

NEIGHBOR: Aligning Service Behaviour and Evidence Use in an LLM Agent for Community Resident Services

导读

NEIGHBOR 是一个部署在某东亚千万人口城市某区居民服务平台上的大语言模型（LLM，Large Language Model）智能体，基于 Qwen3-235B-A22B 用低秩适配（LoRA。

分类置信度

中 · 待人工复核

来源级别：媒体与个人

应用领域：政务与公共事务

事件类型：研究发布

证据摘录

“We present NEIGHBOR, an LLM agent for community resident services that trains this conduct into the model that drives its tools.”
“NEIGHBOR is deployed on a live resident-service platform for a district of an East Asian city of more than ten million people.”
“It adapts Qwen3-235B-A22B with LoRA on 7,824 supervised fine-tuning examples built from public community-service materials around six service-behaviour targets, among them commitment control and human referral, and the adapted model plans document retrieval and read-only text-to-SQL over the resident's own records.”

来源：arXiv · cs.AI · arxiv.org

NEIGHBOR：面向社区居民服务的 大语言模型（LLM，Large Language Model） 智能体如何对齐服务行为与证据使用