AI RESEARCH
SNEAK: Evaluating Strategic Communication and Information Leakage in Large Language Models
arXiv CS.CL
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ArXi:2603.29846v1 Announce Type: new Large language models (LLMs) are increasingly deployed in multi-agent settings where communication must balance informativeness and secrecy. In such settings, an agent may need to signal information to collaborators while preventing an adversary from inferring sensitive details. However, existing LLM benchmarks primarily evaluate capabilities such as reasoning, factual knowledge, or instruction following, and do not directly measure strategic communication under asymmetric information. We