ChainFlow: Few-Step Latent Flow Matching for Speculative Decoding
arXiv cs.AI · Selim Aktas, Yusuf Erdem Erdem, Ahmed Zeer, Himmet Toprak Kesgin, Muzaffer Kaan Yuce, Mehmet Fatih Amasyali ·
arXiv:2611.08669v1 Announce Type: new Abstract: Speculative decoding has become a standard way to accelerate LLM inference: a lightweight drafter proposes tokens that the target verifies in one parallel pass. Existing drafters face trade-offs that limits their speedups: autoregressive drafters generate tokens one…
Excerpt provided by arXiv cs.AI via its public feed. Full reporting belongs to the original publisher.
Read the full story on arXiv cs.AI
Related coverage
The Verge AI · 1h ago
The indie game community is in disarray over AI and Big Walk
The Verge AI · 1h ago
Anthropic has its own AI-powered office suite now
The Verge AI · 5h ago
Adobe is going all in on agentic AI
TechCrunch AI · 6h ago
Cyberattacks threaten to make open-source AI a little less open, Hugging Face exec warns