Bingqi Shan

SJD-SV: Speculative Jacobi Decoding with Semantics Verification for Autoregressive Image Generation

Speculative Jacobi Decoding (SJD) is an important approach for accelerating autoregressive image generation. Although SJD has shown superior performance, recent studies point out that it usually suffers from a token ambiguity issue during token verification but its reason can not be well explained. …