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MAS-Guard: Unified Guardrails from Individual Agents to Multi-Agent LLM Systems

Paper recorded by Signals 4 on 2026-10-20 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.CL · 自然语言处理 · first seen 2026-10-21

Abstract

Agentic AI extends large language models (LLMs) from generating responses to planning and executing complex workflows, substantially expanding their utility while exposing applications to unsafe actions, information leakage, and adversarial manipulation. Multi-agent systems further expand these capabilities through specialization and collaboration, but distributed authority, heterogeneous roles, a

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#203 most recent of 660 cs.CL papers we have recorded · ↑ newer: The Instruction Tax on Factual Recall: Base Models Can Beat Their Inst · ↓ older: When Copying Is Hard: Copy-Constrained Decoding for Exact Span Reprodu
Cite this page: MAS-Guard: Unified Guardrails from Individual Agents to Multi-Agent LLM Systems: the #203 most recent of 660 cs.CL papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mas-guard-unified-guardrails-from-individual-agents-to-multi-agent-llm-systems.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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