WirelessMathBench-XL: An Auditable Benchmark for Wireless Mathematical Reasoning

Name: WirelessMathBench-XL: An Auditable Benchmark for Wireless Mathematical Reasoning
Uploaded: 2026-10-04T02:24:53.670839+00:00
Duration: 321 s
Description: WirelessMathLM uses domain-specific reinforcement learning with verifiable rewards to teach compact models expert-level wireless mathematics. It introduces WirelessMathBench-XL, a large, rigorously constructed benchmark of 4,027 problems derived from academic papers. The method shows that this approach allows smaller models to achieve performance comparable to much larger state-of-the-art models.

WirelessMathLM uses domain-specific reinforcement learning with verifiable rewards to teach compact models expert-level wireless mathematics. It introduces WirelessMathBench-XL, a large, rigorously constructed benchmark of 4,027 problems derived from academic papers. The method shows that this approach allows smaller models to achieve performance comparable to much larger state-of-the-art models.

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