RFCLLM: Evaluating LLMs'Reasoning Ability of Network Protocol State Machines
This work examines the degree to which an LLM's implicit representation of a finite-state transition system-defined via natural language descriptions-aligns with a manually generated ground-truth model.
An-Qi Chen, Dan Goldwasser, Cristina Nita-Rotaru
· 0 citations