• ✨ Improves benchmark performance when added to models like DeepSeek-V3.
• ✨ Achieves higher code accuracy (95% at n=4 vs. 80% at n=1).
• ✨ Enhances data efficiency via denser training signals.
• ✨ Enables speculative decoding for faster inference in GLM-4.5.