Hermann Ney

Knowledge-aligned fine-tuning can drastically cut down on hallucinations in language models while preserving their general capabilities.

Gradient-based alignment can outperform traditional methods in challenging scenarios, offering a universal solution for precise speech-to-text mapping across diverse ASR models.