Evaluating LLMs' Protocol Understanding
This study evaluates the ability of large language models (LLMs) to interpret network protocols correctly. Researchers designed 4 tasks and 1,482 queries for 16 different protocols. They examined how well an LLM's implicit representation of a finite-state transition system aligns with a manually generated ground-truth model. The study also looked at various factors such as judge biases, task…
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Key points
- 16 protocols tested
- 4 tasks designed
- 1,482 queries created
Read the original at arXiv cs.CL · by Anqi Chen, Dan Goldwasser, Cristina Nita-Rotaru primary sourceOpen source ↗
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