Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning

22 May 2025

Papers citing "Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning"

26 / 26 papers shown

Title
a1: Steep Test-time Scaling Law via Environment Augmented Generation Lingrui Mei Shenghua Liu Yiwei Wang Baolong Bi Yuyao Ge Jun Wan Yurong Wu Xueqi Cheng LRM 85 3 0 20 Apr 2025
Efficient Inference for Large Reasoning Models: A Survey Yi Liu Jiaying Wu Yufei He Hongcheng Gao Hongyu Chen Baolong Bi Jiaheng Zhang Zhiqi Huang Bryan Hooi Bryan Hooi LLMAG LRM 176 17 0 29 Mar 2025
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Yang Sui Yu-Neng Chuang Guanchu Wang Jiamu Zhang Tianyi Zhang ... Hongyi Liu Andrew Wen Shaochen Zhong Hanjie Chen OffRL ReLM LRM 206 101 0 20 Mar 2025
How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach Ayeong Lee Ethan Che Tianyi Peng LRM 123 34 0 03 Mar 2025
Chain of Draft: Thinking Faster by Writing Less Silei Xu Wenhao Xie Lingxiao Zhao Pengcheng He AI4TS LRM 194 85 0 25 Feb 2025
MCTS-Judge: Test-Time Scaling in LLM-as-a-Judge for Code Correctness Evaluation Yutong Wang Pengliang Ji Chaoqun Yang Kaixin Li Ming Hu Jiaoyang Li Guillaume Sartoretti LRM ELM 116 6 0 18 Feb 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning DeepSeek-AI Daya Guo Dejian Yang Haowei Zhang Junxiao Song ... Shiyu Wang S. Yu Shunfeng Zhou Shuting Pan S.S. Li ReLM VLM OffRL AI4TS LRM 395 2,031 0 22 Jan 2025
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Xingyu Chen Jiahao Xu Tian Liang Zhiwei He Jianhui Pang ... Zizhuo Zhang Rui Wang Zhaopeng Tu Haitao Mi Dong Yu LRM ReLM 206 197 0 30 Dec 2024
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Charlie Snell Jaehoon Lee Kelvin Xu Aviral Kumar LRM 245 702 0 06 Aug 2024
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI Zhen Huang Zengzhi Wang Shijie Xia Xuefeng Li Haoyang Zou ... Yuxiang Zheng Shaoting Zhang Dahua Lin Yu Qiao Pengfei Liu ELM LRM 138 43 0 18 Jun 2024
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective Fabian Falck Ziyu Wang Chris Holmes 151 20 0 02 Jun 2024
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks Michelle Halbheer Dominik J. Mühlematter Alexander Becker Dominik Narnhofer Helge Aasen Konrad Schindler Mehmet Özgür Türkoglu UQCV 127 3 0 23 May 2024
TravelPlanner: A Benchmark for Real-World Planning with Language Agents Jian Xie Kai Zhang Jiangjie Chen Tinghui Zhu Renze Lou Yuandong Tian Yanghua Xiao Yu-Chuan Su LLMAG LM&Ro 142 180 0 02 Feb 2024
Large Language Models for Mathematical Reasoning: Progresses and Challenges Janice Ahn Rishu Verma Renze Lou Di Liu Rui Zhang Wenpeng Yin LRM 145 146 0 31 Jan 2024
Let's Verify Step by Step Hunter Lightman V. Kosaraju Yura Burda Harrison Edwards Bowen Baker Teddy Lee Jan Leike John Schulman Ilya Sutskever K. Cobbe ALM OffRL LRM 242 1,241 0 31 May 2023
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models Zhongfu Chen Kun Zhou Beichen Zhang Zheng Gong Wayne Xin Zhao Ji-Rong Wen KELM LRM 126 31 0 23 May 2023
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting Miles Turpin Julian Michael Ethan Perez Sam Bowman ReLM LRM 120 444 0 07 May 2023
MathPrompter: Mathematical Reasoning using Large Language Models Shima Imani Liang Du H. Shrivastava KELM ReLM LRM 104 214 0 04 Mar 2023
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering Pan Lu Swaroop Mishra Tony Xia Liang Qiu Kai-Wei Chang Song-Chun Zhu Oyvind Tafjord Peter Clark Ashwin Kalyan ELM ReLM LRM 299 1,301 0 20 Sep 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks Yizhong Wang Swaroop Mishra Pegah Alipoormolabashi Yeganeh Kordi Amirreza Mirzaei ... Chitta Baral Yejin Choi Noah A. Smith Hannaneh Hajishirzi Daniel Khashabi ELM 135 864 0 16 Apr 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 616 3,759 0 21 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 1.0K 9,813 0 28 Jan 2022
Quantifying Epistemic Uncertainty in Deep Learning Ziyi Huang Henry Lam Haofeng Zhang UQCV BDL UD PER 134 14 0 23 Oct 2021
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 268 1,444 0 21 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 958 5,859 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 978 9,390 0 06 Jun 2015