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On the possibilities and limitations of LLM-based multi-agent systems for multi-criteria decision-making in healthcare operations management

Paper recorded by Signals 4 on 2026-10-16 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-16 on arXiv · recorded by Signals 4 on 2026-10-19

Category: cs.AI · 人工智能 · first seen 2026-10-19

Abstract

Multi-criteria models for healthcare operations need weights that express how stakeholders trade off patient waiting time, provider workload, and operating cost, but these weights are difficult to quantify. Teams of large language model (LLM) agents, each prompted to represent a stakeholder, have been used to supply them. We propose a framework for assessing the reliability of LLM-generated prefer

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#271 most recent of 960 cs.AI papers we have recorded · ↑ newer: GLOBE: Evolving Structured Agentic Memory for E-commerce Product Optim · ↓ older: OwlSight: A Panoramic Monitor for Chain-of-Thought Reasoning
Cite this page: On the possibilities and limitations of LLM-based multi-agent systems for multi-criteria decision-making in healthcare operations management: the #271 most recent of 960 cs.AI papers we have recorded (as of 2026-10-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/on-the-possibilities-and-limitations-of-llm-based-multi-agent-systems-for-multi-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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