V-STaR: Training Verifiers for Self-Taught Reasoners

9 February 2024

Nikolay Malkin

Papers citing "V-STaR: Training Verifiers for Self-Taught Reasoners"

30 / 30 papers shown

Title
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models Xiaobao Wu LRM 72 1 0 05 May 2025
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models Bang Zhang Ruotian Ma Qingxuan Jiang Peisong Wang Jiaqi Chen ... Fanghua Ye Jian Li Yifan Yang Zhaopeng Tu Xiaolong Li LLMAG ELM ALM 109 0 1 01 May 2025
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
AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation Tuhin Chakrabarty Philippe Laban C. Wu 32 1 0 10 Apr 2025
Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents Shuo Ren Pu Jian Zhenjiang Ren Chunlin Leng Can Xie Jiajun Zhang LLMAG AI4CE 59 1 0 31 Mar 2025
From Trial to Triumph: Advancing Long Video Understanding via Visual Context Sample Scaling and Self-reward Alignment Yucheng Suo Fan Ma Linchao Zhu T. Wang Fengyun Rao Yi Yang LRM 77 0 0 26 Mar 2025
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling Yiwen Ding Zhiheng Xi Wei He Zhuoyuan Li Yitao Zhai Xiaowei Shi Xunliang Cai Tao Gui Qi Zhang Xuanjing Huang LRM 75 3 0 24 Feb 2025
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 Ting-Ruen Wei Haowei Liu Xuyang Wu Yi Fang LRM AI4CE ReLM KELM 202 1 0 21 Feb 2025
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
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Boostrapping Pu Yang Yunzhen Feng Ziyuan Chen Yuhang Wu Zhuoyuan Li DiffM 101 0 0 31 Jan 2025
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
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 40 7 0 23 Dec 2024
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning Di Zhang Jingdi Lei Junxian Li Xunzhi Wang Y. Liu ... Steve Yang Jianbo Wu Peng Ye Wanli Ouyang Dongzhan Zhou OffRL LRM 107 6 0 27 Nov 2024
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 156 0 0 31 Oct 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux Çağlar Gülçehre 44 2 0 28 Oct 2024
Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance Mitsuhiko Nakamoto Oier Mees Aviral Kumar Sergey Levine OffRL 79 13 0 17 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 32 17 0 05 Oct 2024
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt Deng Cai Huayang Li Tingchen Fu Siheng Li Weiwen Xu ... Leyang Cui Yan Wang Lemao Liu Taro Watanabe Shuming Shi KELM 30 2 0 24 Jun 2024
PORT: Preference Optimization on Reasoning Traces Salem Lahlou Abdalgader Abubaker Hakim Hacid LRM 41 1 0 23 Jun 2024
Improving Autoformalization using Type Checking Auguste Poiroux Gail Weiss Viktor Kunčak Antoine Bosselut 44 2 0 11 Jun 2024
Small Language Models Need Strong Verifiers to Self-Correct Reasoning Yunxiang Zhang Muhammad Khalifa Lajanugen Logeswaran Jaekyeom Kim Moontae Lee Honglak Lee Lu Wang LRM KELM ReLM 31 31 0 26 Apr 2024
A Survey on Self-Evolution of Large Language Models Zhengwei Tao Ting-En Lin Xiancai Chen Hangyu Li Yuchuan Wu Yongbin Li Zhi Jin Fei Huang Dacheng Tao Jingren Zhou LRM LM&Ro 57 22 0 22 Apr 2024
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward Ruohong Zhang Liangke Gui Zhiqing Sun Yihao Feng Keyang Xu ... Di Fu Chunyuan Li Alexander G. Hauptmann Yonatan Bisk Yiming Yang MLLM 53 57 0 01 Apr 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 157 144 0 11 Dec 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 328 4,106 0 24 May 2022
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 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 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 379 8,495 0 28 Jan 2022
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 280 1,595 0 18 Sep 2019