Qianli Wang

Automated benchmarks for explainability are fundamentally brittle: LLM "simulators" consistently game the metric by solving the task directly through semantic priors or exploiting label leakage rather than actually relying on the explanations.

Zero-shot voice cloning can significantly enhance ASR performance for dysarthric speech, outperforming traditional data collection methods with minimal burden.