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Parallel Scaling Law for Language Models

Parallel Scaling Law for Language Models

15 May 2025
Mouxiang Chen
Binyuan Hui
Zeyu Cui
Jiaxi Yang
Dayiheng Liu
Jianling Sun
Junyang Lin
Zhongxin Liu
    MoELRM
ArXiv (abs)PDFHTML

Papers citing "Parallel Scaling Law for Language Models"

11 / 11 papers shown
Title
Kinetics: Rethinking Test-Time Scaling Laws
Kinetics: Rethinking Test-Time Scaling Laws
Ranajoy Sadhukhan
Zhuoming Chen
Haizhong Zheng
Yang Zhou
Emma Strubell
Beidi Chen
116
0
0
05 Jun 2025
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
Gleb Rodionov
Roman Garipov
Alina Shutova
George Yakushev
Erik Schultheis
Vage Egiazarian
Anton Sinitsin
Denis Kuznedelev
Dan Alistarh
LRM
149
5
0
08 Apr 2025
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Yang Sui
Yu-Neng Chuang
Guanchu Wang
Jiamu Zhang
Tianyi Zhang
...
Hongyi Liu
Andrew Wen
Shaochen
Zhong
Hanjie Chen
OffRLReLMLRM
206
101
0
20 Mar 2025
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
Zhijun Chen
Jingzheng Li
Pengpeng Chen
Zhuoran Li
Kai Sun
Yuankai Luo
Qianren Mao
Dingqi Yang
Hailong Sun
Philip S. Yu
ELM
134
20
0
25 Feb 2025
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Loubna Ben Allal
Anton Lozhkov
Elie Bakouch
Gabriel Martín Blázquez
Guilherme Penedo
...
Cyril Zakka
Mathieu Morlon
Colin Raffel
Leandro von Werra
Thomas Wolf
MoE
170
47
0
04 Feb 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
...
Shiyu Wang
S. Yu
Shunfeng Zhou
Shuting Pan
S.S. Li
ReLMVLMOffRLAI4TSLRM
395
2,033
0
22 Jan 2025
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Kimi Team
Angang Du
Bofei Gao
Bowei Xing
Changjiu Jiang
...
Zihao Huang
Ziyao Xu
Zhiyong Yang
Zonghan Yang
Zongyu Lin
OffRLALMAI4TSVLMLRM
353
338
0
22 Jan 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
307
331
0
03 Jan 2025
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Minh Le
Chau Nguyen
Huy Nguyen
Quyen Tran
Trung Le
Nhat Ho
135
8
0
03 Oct 2024
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Jiasheng Ye
Peiju Liu
Tianxiang Sun
Yunhua Zhou
Jun Zhan
Xipeng Qiu
147
76
0
25 Mar 2024
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Nikhil Sardana
Jacob P. Portes
Sasha Doubov
Jonathan Frankle
LRM
423
88
0
31 Dec 2023
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