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cs.AI2026
BV Loss: Block Verification-Aware Loss for Block Diffusion Speculative Decoding
Suyoung Kim, Jahyun Koo, Hyeonjin Kim +5
Diffusion drafters accelerate speculative decoding by proposing multiple tokens in parallel. Despite recent advances in speculative decoding through sequence-level drafting and ver…
cs.AI2026
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…