Triplet-Block Diffusion RWKV
TL;DR AI
2 min readKey summary
Researchers introduced B^3D-RWKV, a diffusion-based RWKV variant designed for bidirectional discrete decoding.
Its triplet-block layout preserves RWKV’s O(L) inference efficiency while enabling parallel generation.
On an 8-task benchmark, the 7.2B model matched existing systems’ accuracy and decoded about 1.6x faster on average.
The work suggests a practical path to combine bidirectional diffusion with linear-time language model inference.
