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2407.21787
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Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
3 January 2025
Bradley Brown
Jordan Juravsky
Ryan Ehrlich
Ronald Clark
Quoc V. Le
Christopher Ré
Azalia Mirhoseini
ALM
LRM
Re-assign community
ArXiv (abs)
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HuggingFace (13 upvotes)
Github (112★)
Papers citing
"Large Language Monkeys: Scaling Inference Compute with Repeated Sampling"
50 / 420 papers shown
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401
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RoBoN: Routed Online Best-of-n for Test-Time Scaling with Multiple LLMs
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40
0
0
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Jack Lu
Ryan Teehan
Jinran Jin
Mengye Ren
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186
4
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02 Dec 2025
Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning
Haonan Wang
Chao Du
Kenji Kawaguchi
Tianyu Pang
MoMe
ReLM
LRM
449
2
0
02 Dec 2025
SPARK: Stepwise Process-Aware Rewards for Reference-Free Reinforcement Learning
Salman Rahman
Sruthi Gorantla
Arpit Gupta
Swastik Roy
Nanyun Peng
Yang Liu
OffRL
LRM
194
0
0
02 Dec 2025
Auxiliary-Hyperparameter-Free Sampling: Entropy Equilibrium for Text Generation
Xiaodong Cai
Hai Lin
Shaoxiong Zhan
Weiqi Luo
Hong-Gee Kim
Hongyan Hao
Yu Yang
Hai-Tao Zheng
114
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0
30 Nov 2025
Rethinking Test Time Scaling for Flow-Matching Generative Models
Qingtao Yu
Changlin Song
Minghao Sun
Zhengyang Yu
Vinay Kumar Verma
Soumya Roy
Sumit Negi
Hongdong Li
Dylan Campbell
126
1
0
27 Nov 2025
Boosting Reasoning in Large Multimodal Models via Activation Replay
Yun Xing
Xiaobin Hu
Qingdong He
Jiangning Zhang
Shuicheng Yan
Shijian Lu
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OffRL
LRM
332
1
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25 Nov 2025
Differential Smoothing Mitigates Sharpening and Improves LLM Reasoning
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Guanning Zeng
Huaqing Zhang
Aditi Raghunathan
178
5
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25 Nov 2025
Majority of the Bests: Improving Best-of-N via Bootstrapping
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Amir-massoud Farahmand
Amir Khasahmadi
195
3
0
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Zifeng Wang
Jin Miao
I-Hung Hsu
Jun Yan
...
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Yi Liang
William Y. Wang
Tomas Pfister
Chen-Yu Lee
344
13
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144
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Shaowei Zhu
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Allen Nie
Zhen Jia
Nandita Vijaykumar
Yida Wang
K. Olukotun
156
3
0
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Steven Cao
Gregory Valiant
Percy Liang
160
1
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15 Nov 2025
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Damian Curran
Vanessa Sporne
Lea Frermann
Jeannie Paterson
AILaw
ELM
436
0
0
10 Nov 2025
Reusing Pre-Training Data at Test Time is a Compute Multiplier
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Thomas Voice
Ruoming Pang
Ludwig Schmidt
Tom Gunter
137
0
0
06 Nov 2025
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Zhuoyi Yang
Xu Guo
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Boyang Albert Li
LRM
208
2
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SELF-REDRAFT: Eliciting Intrinsic Exploration-Exploitation Balance in Test-Time Scaling for Code Generation
Yixiang Chen
Tianshi Zheng
Shijue Huang
Zhitao He
Yi R. Fung
167
1
0
31 Oct 2025
Test-Time Alignment of LLMs via Sampling-Based Optimal Control in pre-logit space
Sekitoshi Kanai
Tsukasa Yoshida
Hiroshi Takahashi
Haru Kuroki
Kazumune Hashimoto
148
0
0
30 Oct 2025
e1: Learning Adaptive Control of Reasoning Effort
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Wei Xia
Stefano Soatto
LRM
276
3
0
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Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Yihe Deng
I-Hung Hsu
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Yanfei Chen
Wei Wang
Tomas Pfister
Chen-Yu Lee
LRM
236
4
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Farid Bagirov
Mikhail Arkhipov
Ksenia Sycheva
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Egor Bogomolov
144
2
0
27 Oct 2025
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Kou Misaki
Takuya Akiba
LRM
278
1
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Ravindra Aribowo Tarunokusumo
Rafael Fernandes Cunha
OffRL
ReLM
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180
0
0
24 Oct 2025
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Chenheng Zhang
Tianqi Du
Jizhe Zhang
Mingqing Xiao
Yifei Wang
Yisen Wang
Zhouchen Lin
ALM
228
1
0
23 Oct 2025
Enhancing Reasoning Skills in Small Persian Medical Language Models Can Outperform Large-Scale Data Training
Mehrdad Ghassabi
Sadra Hakim
Hamidreza Baradaran Kashani
Pedram Rostami
ReLM
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406
0
0
22 Oct 2025
Test-time Verification via Optimal Transport: Coverage, ROC, & Sub-optimality
Arpan Mukherjee
Marcello Bullo
Debabrota Basu
Deniz Gündüz
164
1
0
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S. Bian
Tao Yu
Shivaram Venkataraman
Youngsuk Park
171
1
0
21 Oct 2025
3D Optimization for AI Inference Scaling: Balancing Accuracy, Cost, and Latency
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Abhas Ricky
Muhammad Rameez Chatni
248
0
0
21 Oct 2025
PlanU: Large Language Model Reasoning through Planning under Uncertainty
Ziwei Deng
Mian Deng
Chenjing Liang
Zeming Gao
Chennan Ma
Chenxing Lin
Haipeng Zhang
Songzhu Mei
Cheng-Yu Wang
Siqi Shen
234
0
0
21 Oct 2025
Online In-Context Distillation for Low-Resource Vision Language Models
Zhiqi Kang
Rahaf Aljundi
Vaggelis Dorovatas
Karteek Alahari
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161
1
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Jacopo Tagliabue
66
1
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Inference-Time Compute Scaling For Flow Matching
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Mathieu Blanchette
196
0
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SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
Dong Li
Xujiang Zhao
Linlin Yu
Yanchi Liu
Wei Cheng
Zhengzhang Chen
Zhong Chen
Feng Chen
Chen Zhao
H. Chen
LRM
241
2
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19 Oct 2025
What Limits Agentic Systems Efficiency?
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Minghao Yan
Anand Jayarajan
Gennady Pekhimenko
Shivaram Venkataraman
LLMAG
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221
1
0
18 Oct 2025
The Road Less Traveled: Enhancing Exploration in LLMs via Sequential Sampling
Shijia Kang
Muhan Zhang
LRM
149
0
0
17 Oct 2025
CarBoN: Calibrated Best-of-N Sampling Improves Test-time Reasoning
Yung-Chen Tang
Pin-Yu Chen
Andrea Cavallaro
LRM
152
1
0
17 Oct 2025
Budget-aware Test-time Scaling via Discriminative Verification
Kyle Montgomery
Sijun Tan
Yuqi Chen
Siyuan Zhuang
Tianjun Zhang
Raluca A. Popa
Chenguang Wang
172
0
0
16 Oct 2025
Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models
Mehrzad Samadi
Aleksander Ficek
Sean Narenthiran
Siddhartha Jain
Wasi Uddin Ahmad
Somshubra Majumdar
Vahid Noroozi
Boris Ginsburg
LRM
139
4
0
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Y. Zhang
Yu-Huan Wu
Haowei Zhang
Weiguo Li
Haokun Chen
Jingpei Wu
Guohao Li
Zhen Han
Volker Tresp
LRM
150
6
0
16 Oct 2025
Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models
Guinan Su
Yanwu Yang
Li Shen
Lu Yin
Shiwei Liu
Jonas Geiping
MoE
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244
2
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Meng Jiang
Peng Qi
LRM
196
2
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A Survey on Parallel Reasoning
Z. Wang
Boye Niu
Zipeng Gao
Zhi Zheng
Tong Xu
...
Yilong Chen
Chen Zhu
Hua Wu
Haifeng Wang
Enhong Chen
ReLM
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222
5
0
14 Oct 2025
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Ethan Ewer
Taehong Moon
Jongho Park
Dimitris Papailiopoulos
MQ
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207
1
0
13 Oct 2025
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Yishu Lei
Dan Zhang
Bo Ke
Danxiang Zhu
...
Shikun Feng
Jingzhou He
Yu Sun
Hua Wu
Haifeng Wang
ReLM
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173
1
0
11 Oct 2025
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Aaron Xiong
Yunxiang Zhang
Frederick Zhang
Yueqi Ren
Jirong Yang
Ayoung Lee
Shitanshu Bhushan
Lu Wang
ReLM
ALM
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540
1
0
10 Oct 2025
Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
Y. Zhang
Muhammad Khalifa
Lechen Zhang
Xin Liu
Ayoung Lee
Xinliang Frederick Zhang
Farima Fatahi Bayat
L. Wang
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135
4
0
10 Oct 2025
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Yue Deng
Yao Xiao
Zhanfeng Mo
Wee Sun Lee
Lidong Bing
LRM
152
10
0
09 Oct 2025
ToolExpander: Extending the Frontiers of Tool-Using Reinforcement Learning to Weak LLMs
Fu Chen
Peng Wang
X. Li
Wen Li
Shichi Lei
Dongdong Xiang
141
5
0
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DeepPrune: Parallel Scaling without Inter-trace Redundancy
Shangqing Tu
Yaxuan Li
Yushi Bai
Lei Hou
Juanzi Li
ReLM
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157
2
0
09 Oct 2025
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