Qwen-Audio-3.0-ASR Improves Entity Recall With Hierarchical Hotwords
An instruction-controlled MoE ASR model trained on tens of millions of hours reaches 99.43% recall for priority person names under hotword conditioning.
Sep 12, 20264 min2609.07549
3 articles on SOTA Papers
An instruction-controlled MoE ASR model trained on tens of millions of hours reaches 99.43% recall for priority person names under hotword conditioning.
Radiologist-reviewed masks raise measured nnU-Net Dice scores by 0.143–0.188, exceeding score changes from altering training-data composition.
Workflow-GYM evaluates 338 tasks across 56 virtual-machine software environments, where the best model averages 30.67% success.