newsGoogle News — LLMTrust 62 · AggregatorPublished 7d agoLive · 6d ago
Liquid AI Releases LFM2.5-DSpark Draft Models That Deliver Up to 3.18x Faster Decoding Without Changing Model Outputs - MarkTechPost
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- PossiblePossibly related (embedding) · 54%DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation →
- PossiblePossibly related (embedding) · 51%A Practical Investigation of Training-free Relaxed Speculative Decoding →
- PossiblePossibly related (embedding) · 51%AarambhDevHub/aarambh-ai →
- PossiblePossibly related (embedding) · 49%Adaptive Multi-Step Lookahead Decoding for Diffusion Language Models →
- PossiblePossibly related (embedding) · 49%Windowed-MTP: Removing the Full-Context Draft-KV Tax at Million-Token Context →
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paperDSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive GenerationpaperA Practical Investigation of Training-free Relaxed Speculative DecodingrepoAarambhDevHub/aarambh-aipaperAdaptive Multi-Step Lookahead Decoding for Diffusion Language ModelspaperWindowed-MTP: Removing the Full-Context Draft-KV Tax at Million-Token Context
Related across the graph
paperDSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive GenerationrepoAarambhDevHub/aarambh-aipaperAdaptive Multi-Step Lookahead Decoding for Diffusion Language ModelspaperA Practical Investigation of Training-free Relaxed Speculative DecodingpaperWindowed-MTP: Removing the Full-Context Draft-KV Tax at Million-Token Context