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Scaling LLM Inference with Optimized Sample Compute Allocation

Scaling LLM Inference with Optimized Sample Compute Allocation

Kexun Zhang
Shang Zhou
Danqing Wang
William Yang Wang
Lei Li
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Scaling LLM Inference with Optimized Sample Compute Allocation"

5 / 5 papers shown
Title
DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling
DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling
Fei Wang
Xingchen Wan
Ruoxi Sun
Jiefeng Chen
Sercan Ö. Arık
LRM
39
0
0
19 Jun 2025
Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory
Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory
Yexiang Liu
Zekun Li
Zhi Fang
Nan Xu
Ran He
Tieniu Tan
LRM
82
0
0
16 May 2025
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling
Bingxuan Li
Yiwei Wang
Jiuxiang Gu
Kai-Wei Chang
Nanyun Peng
AI4CE
124
5
0
24 Feb 2025
Optimizing Temperature for Language Models with Multi-Sample Inference
Optimizing Temperature for Language Models with Multi-Sample Inference
Weihua Du
Yiming Yang
Sean Welleck
184
4
0
07 Feb 2025
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Bradley Brown
Jordan Juravsky
Ryan Ehrlich
Ronald Clark
Quoc V. Le
Christopher Ré
Azalia Mirhoseini
ALMLRM
330
331
0
03 Jan 2025

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