Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding
Researchers introduce COVER, a new verification technique for diffusion language models that eliminates inefficient token oscillations during parallel decoding. By using KV cache overrides to preserve context while selectively verifying tokens in a single forward pass, COVER accelerates inference while maintaining output quality.