一作ACL 2026Poster· Natural Language Processing
TAMAS : Benchmarking Adversarial Risks in Multi-Agent LLM Systems
Ishan Kavathekar · Hemang Jain · Ameya Rathod · Ponnurangam Kumaraguru · Tanuja Ganu
摘要
Large Language Models (LLMs) have demonstrated strong capabilities as autonomous agents through tool use, planning, and decision-making abilities, leading to their widespread adoption across diverse tasks. As task complexity grows, multi-agent LLM systems are increasingly used to solve problems c...