28 citations · 126 across the 31 of their papers we have counts for
3 papers · 1 filter
SUN: Shared Use of Next-token Prediction for Efficient Multi-LLM Disaggregated Serving
Sunghyeon Woo, Ahreum Seo, Jaegwang Lee +6
In multi-model LLM serving, decode execution remains inefficient due to model-specific resource partitioning: since cross-model batching is not possible, memory-bound decoding ofte…
Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention
Jeongin Bae, Baeseong Park, Gunho Park +7
Transformer attention is typically implemented using softmax normalization, which enforces attention weights with unit sum normalization. While effective in many settings, this con…
Training-free Dropout Sampling for Semantic Token Acceptance in Speculative Decoding
Jeongtae Lee, Minjung Jo, Hyunjoon Jeong +5
Speculative decoding accelerates large language model inference by proposing tokens with a lightweight draft model and selectively accepting them using a target model. This work in…