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cs.AI2026
Symbolic Guidance for LLM Agents in Distributed Multiagent Coordination
Ben Rachmut, Ning Zhang, Yevgeniy Vorobeychik +1
Large language models (LLMs) are increasingly deployed as autonomous agents in multi-agent systems, yet their ability to reliably execute distributed coordination protocols remains…
cs.AI2026
Protecting Language Models Against Unauthorized Distillation through Trace Rewriting
Xinhang Ma, William Yeoh, Ning Zhang +1
Knowledge distillation is a widely adopted technique for transferring capabilities from LLMs to smaller, more efficient student models. However, unauthorized use of knowledge disti…