ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.14465
  4. Cited By
STaR: Bootstrapping Reasoning With Reasoning

STaR: Bootstrapping Reasoning With Reasoning

28 March 2022
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
    ReLM
    LRM
ArXivPDFHTML

Papers citing "STaR: Bootstrapping Reasoning With Reasoning"

50 / 117 papers shown
Title
Scalable Chain of Thoughts via Elastic Reasoning
Scalable Chain of Thoughts via Elastic Reasoning
Yuhui Xu
Hanze Dong
Lei Wang
Doyen Sahoo
Junnan Li
Caiming Xiong
OffRL
LRM
51
2
0
08 May 2025
LogiDebrief: A Signal-Temporal Logic based Automated Debriefing Approach with Large Language Models Integration
LogiDebrief: A Signal-Temporal Logic based Automated Debriefing Approach with Large Language Models Integration
Zirong Chen
Ziyan An
Jennifer Reynolds
Kristin Mullen
Stephen Martini
Meiyi Ma
34
0
0
06 May 2025
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
Jiarui Yao
Yifan Hao
Hanning Zhang
Hanze Dong
Wei Xiong
Nan Jiang
Tong Zhang
LRM
62
0
0
05 May 2025
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Liaoyaqi Wang
Zhengping Jiang
Anqi Liu
Benjamin Van Durme
61
0
0
02 May 2025
On the generalization of language models from in-context learning and finetuning: a controlled study
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew Kyle Lampinen
Arslan Chaudhry
Stephanie Chan
Cody Wild
Diane Wan
Alex Ku
Jorg Bornschein
Razvan Pascanu
Murray Shanahan
James L. McClelland
46
0
0
01 May 2025
AI Awareness
AI Awareness
Xianrui Li
Haoyuan Shi
Rongwu Xu
Wei Xu
59
0
0
25 Apr 2025
Process Reward Models That Think
Process Reward Models That Think
Muhammad Khalifa
Rishabh Agarwal
Lajanugen Logeswaran
Jaekyeom Kim
Hao Peng
Moontae Lee
Honglak Lee
Lu Wang
OffRL
ALM
LRM
44
1
0
23 Apr 2025
WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model
WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model
Tianqing Fang
Huan Zhang
Z. Zhang
Kaixin Ma
W. Yu
Haitao Mi
Dong Yu
LLMAG
KELM
185
0
0
23 Apr 2025
BELL: Benchmarking the Explainability of Large Language Models
BELL: Benchmarking the Explainability of Large Language Models
Syed Quiser Ahmed
Bharathi Vokkaliga Ganesh
Jagadish Babu P
Karthick Selvaraj
ReddySiva Naga Parvathi Devi
Sravya Kappala
ELM
166
0
0
22 Apr 2025
A Self-Improving Coding Agent
A Self-Improving Coding Agent
Maxime Robeyns
Martin Szummer
Laurence Aitchison
LLMAG
46
0
0
21 Apr 2025
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Yang Yue
Zhiqi Chen
Rui Lu
Andrew Zhao
Zhaokai Wang
Yang Yue
Shiji Song
Gao Huang
ReLM
LRM
58
13
0
18 Apr 2025
Exploring Expert Failures Improves LLM Agent Tuning
Exploring Expert Failures Improves LLM Agent Tuning
Li-Cheng Lan
Andrew Bai
Minhao Cheng
Ruochen Wang
Cho-Jui Hsieh
LRM
183
0
0
17 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
163
0
0
15 Apr 2025
Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems
Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems
Zaid Khan
Elias Stengel-Eskin
Archiki Prasad
Jaemin Cho
Joey Tianyi Zhou
34
0
0
14 Apr 2025
Aurelia: Test-time Reasoning Distillation in Audio-Visual LLMs
Aurelia: Test-time Reasoning Distillation in Audio-Visual LLMs
Sanjoy Chowdhury
Hanan Gani
Nishit Anand
Sayan Nag
Ruohan Gao
Mohamed Elhoseiny
Salman Khan
Dinesh Manocha
LRM
54
0
0
29 Mar 2025
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Zhanke Zhou
Zhaocheng Zhu
Xuan Li
Mikhail Galkin
Xiao Feng
Sanmi Koyejo
Jian Tang
Bo Han
LRM
58
0
0
28 Mar 2025
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
M. Ben-Chen
Tianpeng Li
Haoze Sun
Yijie Zhou
Chenzheng Zhu
...
Xin Wu
Haofen Wang
Jeff Z. Pan
Wen Zhang
H. Chen
ReLM
OffRL
AI4TS
LRM
72
10
0
25 Mar 2025
Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs
Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs
Nicolas Le Roux
Marc G. Bellemare
Jonathan Lebensold
Arnaud Bergeron
Joshua Greaves
Alex Fréchette
Carolyne Pelletier
Eric Thibodeau-Laufer
Sándor Toth
Sam Work
OffRL
91
2
0
18 Mar 2025
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation
Songjun Tu
Jiahao Lin
Xiangyu Tian
Qichao Zhang
Linjing Li
...
Nan Xu
Wei He
Xiangyuan Lan
D. Jiang
Dongbin Zhao
LRM
58
3
0
17 Mar 2025
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
Bowen Baker
Joost Huizinga
Leo Gao
Zehao Dou
M. Guan
Aleksander Mądry
Wojciech Zaremba
J. Pachocki
David Farhi
LRM
77
11
0
14 Mar 2025
Can Frontier LLMs Replace Annotators in Biomedical Text Mining? Analyzing Challenges and Exploring Solutions
Can Frontier LLMs Replace Annotators in Biomedical Text Mining? Analyzing Challenges and Exploring Solutions
Yichong Zhao
Susumu Goto
65
0
0
05 Mar 2025
Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
Kanishk Gandhi
Ayush Chakravarthy
Anikait Singh
Nathan Lile
Noah D. Goodman
ReLM
LRM
93
31
0
03 Mar 2025
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions
Weizhe Yuan
Jane Dwivedi-Yu
Song Jiang
Karthik Padthe
Yang Li
...
Ilia Kulikov
Kyunghyun Cho
Yuandong Tian
Jason Weston
Xian Li
ReLM
LRM
66
12
0
24 Feb 2025
Rationalization Models for Text-to-SQL
Rationalization Models for Text-to-SQL
Gaetano Rossiello
Nhan Pham
Michael R. Glass
Junkyu Lee
Shankar Subramanian
ReLM
LRM
50
0
0
10 Feb 2025
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Nayoung Lee
Ziyang Cai
Avi Schwarzschild
Kangwook Lee
Dimitris Papailiopoulos
ReLM
VLM
LRM
AI4CE
83
4
0
03 Feb 2025
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
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
54
4
0
29 Jan 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
60
0
28 Jan 2025
Chain-of-Retrieval Augmented Generation
Chain-of-Retrieval Augmented Generation
Liang Wang
Haonan Chen
Nan Yang
Xiaolong Huang
Zhicheng Dou
Furu Wei
RALM
LRM
ReLM
3DV
88
6
0
24 Jan 2025
Human-like conceptual representations emerge from language prediction
Human-like conceptual representations emerge from language prediction
Ningyu Xu
Qi Zhang
Chao Du
Qiang Luo
Xipeng Qiu
Xuanjing Huang
Menghan Zhang
70
0
0
21 Jan 2025
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
Yuhang Zang
Xiaoyi Dong
Pan Zhang
Yuhang Cao
Ziyu Liu
...
Haodong Duan
Feiyu Xiong
Kai Chen
Dahua Lin
Jiaqi Wang
VLM
74
19
0
21 Jan 2025
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks
Iman Barati
Arash Ghafouri
B. Minaei-Bidgoli
LRM
44
0
0
10 Jan 2025
The Race to Efficiency: A New Perspective on AI Scaling Laws
The Race to Efficiency: A New Perspective on AI Scaling Laws
Chien-Ping Lu
41
1
0
04 Jan 2025
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Haipeng Luo
Qingfeng Sun
Can Xu
Pu Zhao
Jian-Guang Lou
...
Xiubo Geng
Qingwei Lin
Shifeng Chen
Yansong Tang
Dongmei Zhang
OSLM
LRM
110
412
0
03 Jan 2025
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
70
38
0
31 Dec 2024
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Weihao Zeng
Yuzhen Huang
Lulu Zhao
Yijun Wang
Zifei Shan
Junxian He
LRM
43
8
0
23 Dec 2024
VideoSAVi: Self-Aligned Video Language Models without Human Supervision
VideoSAVi: Self-Aligned Video Language Models without Human Supervision
Yogesh Kulkarni
Pooyan Fazli
VLM
103
2
0
01 Dec 2024
Self-Generated Critiques Boost Reward Modeling for Language Models
Self-Generated Critiques Boost Reward Modeling for Language Models
Yue Yu
Zhengxing Chen
Aston Zhang
L Tan
Chenguang Zhu
...
Suchin Gururangan
Chao-Yue Zhang
Melanie Kambadur
Dhruv Mahajan
Rui Hou
LRM
ALM
99
16
0
25 Nov 2024
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
Fu-Chieh Chang
Yu-Ting Lee
Hui-Ying Shih
Pei-Yuan Wu
Pei-Yuan Wu
OffRL
LRM
177
0
0
31 Oct 2024
On Memorization of Large Language Models in Logical Reasoning
On Memorization of Large Language Models in Logical Reasoning
Chulin Xie
Yangsibo Huang
Chiyuan Zhang
Da Yu
Xinyun Chen
Bill Yuchen Lin
Bo Li
Badih Ghazi
Ravi Kumar
LRM
53
22
0
30 Oct 2024
CREAM: Consistency Regularized Self-Rewarding Language Models
CREAM: Consistency Regularized Self-Rewarding Language Models
Zhaoxiang Wang
Weilei He
Zhiyuan Liang
Xuchao Zhang
Chetan Bansal
Ying Wei
Weitong Zhang
Huaxiu Yao
ALM
104
7
0
16 Oct 2024
VideoAgent: Self-Improving Video Generation
VideoAgent: Self-Improving Video Generation
Achint Soni
Sreyas Venkataraman
Abhranil Chandra
Sebastian Fischmeister
Percy Liang
Bo Dai
Sherry Yang
LM&Ro
VGen
58
7
0
14 Oct 2024
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps
Han Wang
Yilin Zhao
Dian Li
Xiaohan Wang
Gang Liu
Xuguang Lan
Haoran Wang
LRM
45
1
0
14 Oct 2024
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Vithursan Thangarasa
Ganesh Venkatesh
Mike Lasby
Nish Sinnadurai
Sean Lie
SyDa
38
1
0
13 Oct 2024
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Zirui Zhao
Hanze Dong
Amrita Saha
Caiming Xiong
Doyen Sahoo
LRM
35
3
0
10 Oct 2024
CursorCore: Assist Programming through Aligning Anything
CursorCore: Assist Programming through Aligning Anything
Hao Jiang
Qi Liu
Rui Li
Shengyu Ye
Shijin Wang
53
1
0
09 Oct 2024
Synthesizing Interpretable Control Policies through Large Language Model Guided Search
Synthesizing Interpretable Control Policies through Large Language Model Guided Search
Carlo Bosio
Mark W. Mueller
26
0
0
07 Oct 2024
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
Kaiyue Wen
Huaqing Zhang
Hongzhou Lin
Jingzhao Zhang
MoE
LRM
61
2
0
07 Oct 2024
System 2 Reasoning Capabilities Are Nigh
System 2 Reasoning Capabilities Are Nigh
Scott C. Lowe
VLM
LRM
51
0
0
04 Oct 2024
ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement
ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement
Xiangyu Peng
Congying Xia
Xinyi Yang
Caiming Xiong
Chien-Sheng Wu
Chen Xing
LRM
48
2
0
03 Oct 2024
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Tongxuan Liu
Wenjiang Xu
Weizhe Huang
Yuting Zeng
Jiaxing Wang
Hailong Yang
Hailong Yang
Jing Li
LRM
ReLM
52
5
0
26 Sep 2024
123
Next