SpecBlock achieves 8-13% higher mean speedup than EAGLE-3 at 44-52% drafting cost via block-iterative drafting with hidden-state inheritance, dynamic rank-head branching, valid-prefix masking, and optional cost-aware bandit adaptation.
Set block decoding is a language model inference accelerator
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Orthrus unifies autoregressive LLMs and diffusion models via shared KV cache and consensus to enable up to 7.8x parallel token generation speedup with O(1) memory overhead and lossless results.
FBS introduces a causal trainable loop via PAW, CH, and SG modules to model native parallel reading in Transformers, yielding better quality-efficiency on benchmarks with complementary ablations.
citing papers explorer
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SpecBlock: Block-Iterative Speculative Decoding with Dynamic Tree Drafting
SpecBlock achieves 8-13% higher mean speedup than EAGLE-3 at 44-52% drafting cost via block-iterative drafting with hidden-state inheritance, dynamic rank-head branching, valid-prefix masking, and optional cost-aware bandit adaptation.
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Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
Orthrus unifies autoregressive LLMs and diffusion models via shared KV cache and consensus to enable up to 7.8x parallel token generation speedup with O(1) memory overhead and lossless results.
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FBS: Modeling Native Parallel Reading inside a Transformer
FBS introduces a causal trainable loop via PAW, CH, and SG modules to model native parallel reading in Transformers, yielding better quality-efficiency on benchmarks with complementary ablations.