OrchVis: Hierarchical Multi-Agent Orchestration for Human Oversight

Fuente: arXiv
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Main Author: Zhou, Jieyu
Format: Preprint
Published: 2025
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author Zhou, Jieyu
author_facet Zhou, Jieyu
contents We introduce OrchVis, a multi-agent orchestration framework that visualizes, verifies, and coordinates goal-driven collaboration among LLM-based agents. Through hierarchical goal alignment, task assignment, and conflict resolution, OrchVis enables humans to supervise complex multi-agent workflows without micromanaging each step. The system parses user intent into structured goals, monitors execution via automated verification, and exposes inter-agent dependencies through an interactive planning panel. When conflicts arise, users can explore system-proposed alternatives and selectively replan. OrchVis advances human-centered design for multi-agent systems by combining transparent visualization with adaptive autonomy.
format Preprint
id arxiv_https___arxiv_org_abs_2510_24937
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle OrchVis: Hierarchical Multi-Agent Orchestration for Human Oversight
Zhou, Jieyu
Human-Computer Interaction
We introduce OrchVis, a multi-agent orchestration framework that visualizes, verifies, and coordinates goal-driven collaboration among LLM-based agents. Through hierarchical goal alignment, task assignment, and conflict resolution, OrchVis enables humans to supervise complex multi-agent workflows without micromanaging each step. The system parses user intent into structured goals, monitors execution via automated verification, and exposes inter-agent dependencies through an interactive planning panel. When conflicts arise, users can explore system-proposed alternatives and selectively replan. OrchVis advances human-centered design for multi-agent systems by combining transparent visualization with adaptive autonomy.
title OrchVis: Hierarchical Multi-Agent Orchestration for Human Oversight
topic Human-Computer Interaction
url https://arxiv.org/abs/2510.24937