We propose a shared calibration objective for both quality optimization and quality estimation in translation, offering a unified perspective on these two tasks.

We propose a new diffusion bridge method that embeds the linear measurement system into the SDE coefficients, enabling direct use of system information and improving performance across diverse inverse problem benchmarks.