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BATON: Enhancing Batch-wise Inference Efficiency for Large Language
  Models via Dynamic Re-batching

BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batching

24 October 2024
Peizhuang Cong
Qizhi Chen
Haochen Zhao
Tong Yang
    KELM
ArXivPDFHTML

Papers citing "BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batching"

1 / 1 papers shown
Title
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
Xinglin Wang
Shaoxiong Feng
Yiwei Li
Peiwen Yuan
Y. Zhang
Boyuan Pan
Heda Wang
Yao Hu
Kan Li
LRM
37
16
0
24 Aug 2024
1