PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects

ArXi:2606.01016v1 Announce Type: cross While End-to-End (E2E) Speech-Large Language Models (Speech-LLMs) are rapidly evolving, their evaluation methodologies remain limited to the era of simple transcription. Existing benchmarks suffer from three critical limitations: a pronounced bias towards high-resource languages, a focus on low-level recognition (ASR) rather than semantic reasoning, and a neglect of regional dialects. To bridge this gap, we