| # Benchmark Guide | |
| For reported MBD-LMs results, benchmark through the Diffulex `mbd-lms` | |
| reproduction branch: | |
| <https://github.com/SJTU-DENG-Lab/Diffulex/tree/mbd-lms> | |
| That branch is the stable reference for reproducing the paper experiments. It | |
| keeps the benchmark configs, model choices, and runtime assumptions aligned with | |
| the MBD-LMs training and evaluation setup. | |
| Diffulex `main` is the active engine branch: | |
| <https://github.com/SJTU-DENG-Lab/Diffulex/tree/main> | |
| Use `main` for continued engine development, open-source contributions, new | |
| algorithm exploration, and deployment-oriented optimization. Because `main` | |
| evolves with runtime changes, its exact metrics may differ from the reproduction | |
| branch. | |
| When comparing results, keep the terminology consistent: | |
| | Term | Meaning | | |
| |------|---------| | |
| | SingleBD | Native one-block-at-a-time block diffusion decoding. | | |
| | MultiBD | Multi-Block Diffusion over a bounded running-set of blocks. | | |
| | MultiTF | The post-training recipe used to align MBD-LMs with practical MultiBD inference states. | | |
| | Block Buffer | The fixed-size inference mechanism that makes MultiBD static-shape friendly. | | |