January 2026 monthly summary for PaddlePaddle/PaddleFormers: Focused on enhancing Dynamic Programming Optimization (DPO) training. Implemented a filtered label loss approach by refactoring the loss function to replace the sparse head and loss function, and updated response indexing to support the new loss. The changes streamline the training pipeline, improve efficiency, and boost accuracy on DPO tasks. Collaboration led to clean integration with existing training loops and ensured compatibility with the repository's regression test suite. This work lays groundwork for faster experimentation and higher-quality DP-based decision making in production pipelines.