TSNBench finds LLMs achieve 67-95% accuracy on TSN multiple-choice questions but produce 36-100% mean absolute percentage errors on open-ended worst-case delay calculations for Credit-Based Shaper and Cyclic Queuing and Forwarding.
Future versions should extend to TAS and ATS to cover a broader range of the TSN standard suite
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TSNBench: Benchmarking LLM Proficiency in Time-Sensitive Networking
TSNBench finds LLMs achieve 67-95% accuracy on TSN multiple-choice questions but produce 36-100% mean absolute percentage errors on open-ended worst-case delay calculations for Credit-Based Shaper and Cyclic Queuing and Forwarding.