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SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models

Chung-En Ho, Weiyu Sun, Cheng-Jhih Shih, He Li, Yong Liu, Yingyan Celine Lin · Oct 4, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 42% Moderate protocol signal Freshness: Hot Status: Ready
Automatic Metrics General
  • Across two DLLM families, five models, and five standard benchmarks, SpecFold achieves up to 1.64x throughput over Spiffy and up to 1.99x over vanilla decoding, while maintaining comparable task performance.
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