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Alphazero-like Tree-Search can Guide Large Language Model Decoding and
  Training

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

29 September 2023
Xidong Feng
Bo Liu
Muning Wen
Stephen Marcus McAleer
Ying Wen
Weinan Zhang
Jun Wang
    LRM
    AI4CE
ArXivPDFHTML

Papers citing "Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training"

40 / 40 papers shown
Title
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
Runquan Gui
Zhilin Wang
Jun Wang
Chi Ma
Huiling Zhen
M. Yuan
Jianye Hao
Defu Lian
Enhong Chen
Feng Wu
LRM
141
0
0
05 May 2025
Accelerating Large Language Model Reasoning via Speculative Search
Accelerating Large Language Model Reasoning via Speculative Search
Zhihai Wang
Jie Wang
Jilai Pan
Xilin Xia
Huiling Zhen
M. Yuan
Jianye Hao
Feng Wu
ReLM
LRM
59
0
0
03 May 2025
COSMOS: Predictable and Cost-Effective Adaptation of LLMs
COSMOS: Predictable and Cost-Effective Adaptation of LLMs
Jiayu Wang
Aws Albarghouthi
Frederic Sala
49
0
0
30 Apr 2025
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
Xinyu Wang
Chunxuan Xia
Junyi Li
Fanzhe Meng
Lei Huang
Jinpeng Wang
Wayne Xin Zhao
Ji-Rong Wen
63
0
0
29 Apr 2025
Safety in Large Reasoning Models: A Survey
Safety in Large Reasoning Models: A Survey
Cheng Wang
Yong-Jin Liu
Yangqiu Song
Duzhen Zhang
ZeLin Li
Junfeng Fang
Bryan Hooi
LRM
156
1
0
24 Apr 2025
From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning
From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning
Le Zhuo
Liangbing Zhao
Sayak Paul
Yue Liao
Renrui Zhang
Yi Xin
Peng Gao
Mohamed Elhoseiny
Hao Li
VLM
75
0
0
22 Apr 2025
Teaching Large Language Models to Reason through Learning and Forgetting
Teaching Large Language Models to Reason through Learning and Forgetting
Tianwei Ni
Allen Nie
Sapana Chaudhary
Yao Liu
Huzefa Rangwala
Rasool Fakoor
ReLM
CLL
LRM
142
0
0
15 Apr 2025
Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning
Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning
Ximing Lu
Seungju Han
David Acuna
Hyunwoo Kim
Jaehun Jung
...
Niklas Muennighoff
M. Patwary
M. Shoeybi
Bryan Catanzaro
Yejin Choi
ReLM
LRM
44
2
0
06 Apr 2025
ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning
Bo Liu
Yunxiang Li
Yangqiu Song
Hanjing Wang
Linyi Yang
Mark W. Schmidt
Jun Wang
Weinan Zhang
Shuyue Hu
Ying Wen
LLMAG
KELM
LRM
AI4CE
89
6
0
12 Mar 2025
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
Wenxuan Huang
Bohan Jia
Zijie Zhai
Shaosheng Cao
Zheyu Ye
Fei Zhao
Zhe Xu
Yao Hu
Shaohui Lin
MU
OffRL
LRM
MLLM
ReLM
VLM
59
41
0
09 Mar 2025
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
Yuchen Yan
Yongliang Shen
Y. Liu
Jin Jiang
M. Zhang
Jian Shao
Yueting Zhuang
LRM
ReLM
53
3
0
09 Mar 2025
Better Process Supervision with Bi-directional Rewarding Signals
Wenxiang Chen
Wei He
Zhiheng Xi
Honglin Guo
Boyang Hong
...
Nijun Li
Tao Gui
Yun Li
Qi Zhang
Xuanjing Huang
LRM
50
2
0
06 Mar 2025
How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities
How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities
Minhua Lin
Hui Liu
X. Tang
Jingying Zeng
Zhenwei Dai
Chen Luo
Zheng Li
Xiang Zhang
Qi He
Suhang Wang
OffRL
LRM
43
0
0
25 Feb 2025
Learning to Retrieve and Reason on Knowledge Graph through Active Self-Reflection
Learning to Retrieve and Reason on Knowledge Graph through Active Self-Reflection
Han Zhang
Langshi Zhou
Hanfang Yang
LRM
RALM
ReLM
KELM
167
1
0
24 Feb 2025
DISC: Dynamic Decomposition Improves LLM Inference Scaling
DISC: Dynamic Decomposition Improves LLM Inference Scaling
Jonathan Light
Wei Cheng
Wu Yue
Masafumi Oyamada
Mengdi Wang
Santiago Paternain
Haifeng Chen
ReLM
LRM
64
2
0
23 Feb 2025
Dynamic Parallel Tree Search for Efficient LLM Reasoning
Dynamic Parallel Tree Search for Efficient LLM Reasoning
Yifu Ding
Wentao Jiang
Shunyu Liu
Yongcheng Jing
J. Guo
...
Zengmao Wang
Ziqiang Liu
Bo Du
X. Liu
Dacheng Tao
LRM
46
4
0
22 Feb 2025
A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics
A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics
Ting-Ruen Wei
Haowei Liu
Xuyang Wu
Yi Fang
LRM
AI4CE
ReLM
KELM
202
1
0
21 Feb 2025
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
Guangzhi Sun
Yudong Yang
Jimin Zhuang
Changli Tang
Yongqian Li
W. Li
Z. Ma
Chao Zhang
LRM
MLLM
VLM
64
4
0
17 Feb 2025
Flaming-hot Initiation with Regular Execution Sampling for Large Language Models
Flaming-hot Initiation with Regular Execution Sampling for Large Language Models
Weizhe Chen
Zhicheng Zhang
Guanlin Liu
Renjie Zheng
Wenlei Shi
Chen Dun
Zheng Wu
Xing Jin
Lin Yan
ALM
LRM
51
1
0
17 Feb 2025
Leveraging Constrained Monte Carlo Tree Search to Generate Reliable Long Chain-of-Thought for Mathematical Reasoning
Leveraging Constrained Monte Carlo Tree Search to Generate Reliable Long Chain-of-Thought for Mathematical Reasoning
Qingwen Lin
Boyan Xu
Zijian Li
Zhifeng Hao
Keli Zhang
Ruichu Cai
LRM
52
2
0
16 Feb 2025
Bag of Tricks for Inference-time Computation of LLM Reasoning
Bag of Tricks for Inference-time Computation of LLM Reasoning
Fan Liu
Wenshuo Chao
Naiqiang Tan
Hao Liu
OffRL
LRM
79
3
0
11 Feb 2025
Policy Guided Tree Search for Enhanced LLM Reasoning
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li
LRM
53
0
0
04 Feb 2025
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Tianzhe Chu
Yuexiang Zhai
Jihan Yang
Shengbang Tong
Saining Xie
Dale Schuurmans
Quoc V. Le
Sergey Levine
Yi Ma
OffRL
70
58
0
28 Jan 2025
COS(M+O)S: Curiosity and RL-Enhanced MCTS for Exploring Story Space via Language Models
COS(M+O)S: Curiosity and RL-Enhanced MCTS for Exploring Story Space via Language Models
Tobias Materzok
LRM
69
0
0
28 Jan 2025
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning
Beichen Zhang
Yuhong Liu
Xiaoyi Dong
Yuhang Zang
Pan Zhang
Haodong Duan
Yuhang Cao
Dahua Lin
J. T. Wang
LRM
ReLM
61
2
0
06 Jan 2025
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
Xinyu Tang
Xiaolei Wang
Wayne Xin Zhao
Ji-Rong Wen
50
3
0
26 Oct 2024
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge
  with Curriculum Preference Learning
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning
Xiyao Wang
Linfeng Song
Ye Tian
Dian Yu
Baolin Peng
Haitao Mi
Furong Huang
Dong Yu
LRM
55
9
0
09 Oct 2024
CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair
CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair
Mingjie Liu
Yun-Da Tsai
Wenfei Zhou
Haoxing Ren
SyDa
3DV
45
6
0
19 Sep 2024
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning
Chaojie Wang
Yanchen Deng
Zhiyi Lyu
Liang Zeng
Jujie He
Shuicheng Yan
Bo An
LRM
ReLM
42
52
0
20 Jun 2024
Reinforcing Language Agents via Policy Optimization with Action
  Decomposition
Reinforcing Language Agents via Policy Optimization with Action Decomposition
Muning Wen
Bo Liu
Weinan Zhang
Jun Wang
Ying Wen
46
8
0
23 May 2024
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
Yang Zhang
Shixin Yang
Chenjia Bai
Fei Wu
Xiu Li
Zhen Wang
Xuelong Li
LLMAG
36
25
0
23 May 2024
Natural Language Reinforcement Learning
Natural Language Reinforcement Learning
Xidong Feng
Bo Liu
Mengyue Yang
Ziyan Wang
Girish A. Koushiks
Yali Du
Ying Wen
Jun Wang
OffRL
35
3
0
11 Feb 2024
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on
  Model-induced Process Supervision
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision
Zihan Wang
Yunxuan Li
Yuexin Wu
Liangchen Luo
Le Hou
Hongkun Yu
Jingbo Shang
LRM
40
18
0
05 Feb 2024
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for
  Reasoning Problems
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Kaya Stechly
Matthew Marquez
Subbarao Kambhampati
LRM
165
84
0
19 Oct 2023
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of
  Chain-of-Thought
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov
He He
ELM
LRM
ReLM
121
275
0
03 Oct 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
328
4,077
0
24 May 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive
  Explanations
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Jaehun Jung
Lianhui Qin
Sean Welleck
Faeze Brahman
Chandra Bhagavatula
Ronan Le Bras
Yejin Choi
ReLM
LRM
226
190
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,248
0
21 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
319
11,953
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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
382
8,495
0
28 Jan 2022
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