8 citations · 12 across the 6 of their papers we have counts for
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cs.LG2026
SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
Shenggui Li, Chao Wang, Yikai Zhu +14
Large language models incur high inference latency due to sequential autoregressive decoding. Speculative decoding alleviates this bottleneck by using a lightweight draft model to…
cs.LG2023★ 2 cited
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective
Laixin Xie, Yang Ouyang, Longfei Chen +2
Missing data can pose a challenge for machine learning (ML) modeling. To address this, current approaches are categorized into feature imputation and label prediction and are prima…