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2408.03314
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Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
6 August 2024
Charlie Snell
Jaehoon Lee
Kelvin Xu
Aviral Kumar
LRM
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Papers citing
"Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters"
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SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language Models
Daniel Fleischer
Moshe Berchansky
Gad Markovits
Moshe Wasserblat
ReLM
ELM
LRM
82
0
0
13 Feb 2025
Bag of Tricks for Inference-time Computation of LLM Reasoning
Fan Liu
Wenshuo Chao
Naiqiang Tan
Hao Liu
OffRL
LRM
69
3
0
11 Feb 2025
ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
L. Yang
Zhaochen Yu
Bin Cui
Mengdi Wang
ReLM
LRM
AI4CE
94
10
0
10 Feb 2025
ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization
Yongcheng Zeng
Xinyu Cui
Xuanfa Jin
Guoqing Liu
Zexu Sun
...
Dong Li
Ning Yang
Jianye Hao
H. Zhang
J. Wang
LRM
LLMAG
76
1
0
08 Feb 2025
Iterative Deepening Sampling for Large Language Models
Weizhe Chen
Sven Koenig
B. Dilkina
LRM
ReLM
88
0
0
08 Feb 2025
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment
Cheryl Li
Tianyuan Xu
Yiwen Guo
LRM
69
2
0
05 Feb 2025
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li
LRM
51
0
0
04 Feb 2025
Learning to Generate Unit Tests for Automated Debugging
Archiki Prasad
Elias Stengel-Eskin
Justin Chih-Yao Chen
Zaid Khan
Mohit Bansal
ELM
76
1
0
03 Feb 2025
A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
Isha Puri
Shivchander Sudalairaj
Guangxuan Xu
Kai Xu
Akash Srivastava
LRM
74
3
0
03 Feb 2025
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Wenzhe Li
Yong Lin
Mengzhou Xia
Chi Jin
MoE
76
2
0
02 Feb 2025
Position: AI Scaling: From Up to Down and Out
Yunke Wang
Yanxi Li
Chang Xu
HAI
71
1
0
02 Feb 2025
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
Zishun Yu
Tengyu Xu
Di Jin
Karthik Abinav Sankararaman
Yun He
...
Eryk Helenowski
Chen Zhu
Sinong Wang
Hao Ma
Han Fang
LRM
49
4
0
29 Jan 2025
COS(M+O)S: Curiosity and RL-Enhanced MCTS for Exploring Story Space via Language Models
Tobias Materzok
LRM
65
0
0
28 Jan 2025
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
Haotian Luo
Li Shen
Haiying He
Y. Wang
Shiwei Liu
Wei Li
Naiqiang Tan
Xiaochun Cao
Dacheng Tao
VLM
LRM
86
36
0
22 Jan 2025
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Kimi Team
Angang Du
Bofei Gao
Bowei Xing
Changjiu Jiang
...
Zhilin Yang
Zhiqi Huang
Zihao Huang
Ziyao Xu
Z. Yang
VLM
ALM
OffRL
AI4TS
LRM
106
128
0
22 Jan 2025
Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
Zhenyu Hou
Xin Lv
Rui Lu
J. Zhang
Y. Li
Zijun Yao
Juanzi Li
J. Tang
Yuxiao Dong
OffRL
LRM
ReLM
49
20
0
20 Jan 2025
O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning
Zhongzhen Huang
Gui Geng
Shengyi Hua
Zhen Huang
Haoyang Zou
S. Zhang
Pengfei Liu
Xiaofan Zhang
LRM
38
10
0
11 Jan 2025
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Ruilin Luo
Zhuofan Zheng
Yifan Wang
Yiyao Yu
Xinzhe Ni
Zicheng Lin
Jin Zeng
Yujiu Yang
LRM
57
12
0
08 Jan 2025
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
Jiale Cheng
Xiao-Chang Liu
C. Wang
Xiaotao Gu
Y. Lu
Dan Zhang
Yuxiao Dong
J. Tang
Hongning Wang
Minlie Huang
LRM
117
3
0
16 Dec 2024
Predicting Emergent Capabilities by Finetuning
Charlie Snell
Eric Wallace
Dan Klein
Sergey Levine
ELM
LRM
75
5
0
25 Nov 2024
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
Davide Paglieri
Bartłomiej Cupiał
Samuel Coward
Ulyana Piterbarg
Maciej Wolczyk
...
Lerrel Pinto
Rob Fergus
Jakob Foerster
Jack Parker-Holder
Tim Rocktaschel
LLMAG
LRM
101
10
0
20 Nov 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
Justin Deschenaux
Çağlar Gülçehre
39
2
0
28 Oct 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Shansan Gong
Shivam Agarwal
Yizhe Zhang
Jiacheng Ye
Lin Zheng
...
Peilin Zhao
W. Bi
Jiawei Han
Hao Peng
Lingpeng Kong
AI4CE
63
14
0
23 Oct 2024
Understanding Layer Significance in LLM Alignment
Guangyuan Shi
Zexin Lu
Xiaoyu Dong
Wenlong Zhang
Xuanyu Zhang
Yujie Feng
Xiao-Ming Wu
41
2
0
23 Oct 2024
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs
Yujun Zhou
Jingdong Yang
Kehan Guo
Pin-Yu Chen
Tian Gao
...
Tian Gao
Werner Geyer
Nuno Moniz
Nitesh V Chawla
Xiangliang Zhang
33
4
0
18 Oct 2024
MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation
S. Gorti
Ilan Gofman
Zhaoyan Liu
Jiapeng Wu
Noël Vouitsis
Guangwei Yu
Jesse C. Cresswell
Rasa Hosseinzadeh
SyDa
41
6
0
16 Oct 2024
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs
Ishan Jindal
Chandana Badrinath
Pranjal Bharti
Lakkidi Vinay
Sachin Dev Sharma
CLL
ALM
26
2
0
14 Oct 2024
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Zirui Zhao
Hanze Dong
Amrita Saha
Caiming Xiong
Doyen Sahoo
LRM
27
3
0
10 Oct 2024
CursorCore: Assist Programming through Aligning Anything
Hao Jiang
Qi Liu
Rui Li
Shengyu Ye
Shijin Wang
41
1
0
09 Oct 2024
Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification
Zhenwen Liang
Ye Liu
Tong Niu
Xiangliang Zhang
Yingbo Zhou
Semih Yavuz
LRM
30
17
0
05 Oct 2024
System 2 Reasoning Capabilities Are Nigh
Scott C. Lowe
VLM
LRM
33
0
0
04 Oct 2024
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation
Jonathan Cook
Tim Rocktaschel
Jakob Foerster
Dennis Aumiller
Alex Wang
ALM
29
9
0
04 Oct 2024
ToolGen: Unified Tool Retrieval and Calling via Generation
Renxi Wang
Xudong Han
Lei Ji
Shu Wang
Timothy Baldwin
Haonan Li
LLMAG
58
6
0
04 Oct 2024
GraphRouter: A Graph-based Router for LLM Selections
Tao Feng
Yanzhen Shen
Jiaxuan You
40
9
0
04 Oct 2024
Better Instruction-Following Through Minimum Bayes Risk
Ian Wu
Patrick Fernandes
Amanda Bertsch
Seungone Kim
Sina Pakazad
Graham Neubig
48
9
0
03 Oct 2024
Integrative Decoding: Improve Factuality via Implicit Self-consistency
Yi Cheng
Xiao Liang
Yeyun Gong
Wen Xiao
Song Wang
...
Wenjie Li
Jian Jiao
Qi Chen
Peng Cheng
Wayne Xiong
HILM
50
1
0
02 Oct 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
Jinghan Li
Zhicheng Sun
Fei Li
74
1
0
02 Oct 2024
Compositional Hardness of Code in Large Language Models -- A Probabilistic Perspective
Yotam Wolf
Binyamin Rothberg
Dorin Shteyman
Amnon Shashua
13
0
0
26 Sep 2024
Uncovering Latent Chain of Thought Vectors in Language Models
Jason Zhang
Scott Viteri
LLMSV
LRM
33
1
0
21 Sep 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Buhua Liu
Shitong Shao
Bao Li
Lichen Bai
Zhiqiang Xu
Haoyi Xiong
James Kwok
Sumi Helal
Zeke Xie
37
11
0
11 Sep 2024
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
Problem Solving Through Human-AI Preference-Based Cooperation
Subhabrata Dutta
Timo Kaufmann
Goran Glavas
Ivan Habernal
Kristian Kersting
Frauke Kreuter
Mira Mezini
Iryna Gurevych
Eyke Hüllermeier
Hinrich Schuetze
82
1
0
14 Aug 2024
Variational Best-of-N Alignment
Afra Amini
Tim Vieira
Ryan Cotterell
Ryan Cotterell
BDL
40
17
0
08 Jul 2024
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
Amrith Rajagopal Setlur
Saurabh Garg
Xinyang Geng
Naman Garg
Virginia Smith
Aviral Kumar
35
45
0
20 Jun 2024
Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
Zhe Hu
Tuo Liang
Jing Li
Yiren Lu
Yunlai Zhou
Yiran Qiao
Jing Ma
Yu Yin
36
4
0
29 May 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
14
0
30 Jan 2024
Theoretical guarantees on the best-of-n alignment policy
Ahmad Beirami
Alekh Agarwal
Jonathan Berant
Alex DÁmour
Jacob Eisenstein
Chirag Nagpal
A. Suresh
42
42
0
03 Jan 2024
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Avi Singh
John D. Co-Reyes
Rishabh Agarwal
Ankesh Anand
Piyush Patil
...
Yamini Bansal
Ethan Dyer
Behnam Neyshabur
Jascha Narain Sohl-Dickstein
Noah Fiedel
ALM
LRM
ReLM
SyDa
147
143
0
11 Dec 2023
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Kaya Stechly
Matthew Marquez
Subbarao Kambhampati
LRM
155
84
0
19 Oct 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
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