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K. Cobbe · SciRah

Researcher profile · Semantic Scholar

K. Cobbe

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K. Cobbe — researcher profile on SciRah

h-index: 8
Works: 39
Citations: 20K

Most-cited papers

Training Verifiers to Solve Math Word Problems
K. Cobbe, V. Kosaraju, Mo Bavarian, Mark Chen +8 more
2021arXiv.org12K citations
Semantic Scholar
Let's Verify Step by Step
H. Lightman, V. Kosaraju, Yura Burda, Harrison Edwards +6 more
2023International Conference on Learning Representations5,156 citations Open access
Semantic Scholar
WebGPT: Browser-assisted question-answering with human feedback
Reiichiro Nakano, Jacob Hilton, S. Balaji, Jeff Wu +14 more
2021arXiv.org2,154 citations
Semantic Scholar
Quantifying Generalization in Reinforcement Learning
K. Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim +1 more
2018International Conference on Machine Learning806 citations
Semantic Scholar
Leveraging Procedural Generation to Benchmark Reinforcement Learning
K. Cobbe, Christopher Hesse, Jacob Hilton, John D. Schulman
2019International Conference on Machine Learning762 citations
Semantic Scholar
Phasic Policy Gradient
K. Cobbe, Jacob Hilton, Oleg Klimov, John D. Schulman
2020International Conference on Machine Learning216 citations
Semantic Scholar
Batch size-invariance for policy optimization
Jacob Hilton, K. Cobbe, John D. Schulman
2021Neural Information Processing Systems42 citations
Semantic Scholar
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark
S. Mohanty, Jyotish Poonganam, Adrien Gaidon, A. Kolobov +19 more
2021Neural Information Processing Systems37 citations
Semantic Scholar
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in Large Language Models
K. Chernyshev, Vitaliy Polshkov, E. Artemova, Sergei Tilga +496 more
8 citations
Semantic Scholar
The Dialect Tax: Dialectal Biases Persist throughout the Language Modeling Pipeline
Elle Michelle Yang, Mark Chen, Jerry Tworek, Hee-woo Jun +24 more
20261 citations
Semantic Scholar
1D and 3D anthropometric data application on public transport vehicle layout and on oil and gas laboratories work environment design
F. C. Pastura, C. Guimaraes, M. Zamberlan, G. Cid +6 more
2012Work1 citations Open access
Semantic Scholar
ElChat: Adapting Chat Language Models Using Only Target Unlabeled Language Data
Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, Nikolaos Aletras +210 more
1 citations
Semantic Scholar
EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning for LLMs
Huan-Yu Liu, Jia Li, Yihong Dong, Changyuan Yu +79 more
1 citations
Semantic Scholar
Jailbreaking Jailbreaks: A Proactive Defense for LLMs
Wei-Liang Zhao, Daniel Ben-Levi, Jinjun Peng, Zhou Yu +155 more
1 citations
Semantic Scholar
Bridging Latent Reasoning and Target-Language Generation via Retrieval-Transition Heads
Shaswat Patel, Vishvesh Trivedi, Yue, Han-Yi-Huai Hong +32 more
2026arXiv.org0 citations
Semantic Scholar
Evaluating Design Choices in Verifiable Generation with Open-source Models
Shuyang Cao, Lu Wang, Marah Abdin, Jy-oti Aneja +496 more
2025Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)0 citations Open access
Semantic Scholar
Targeted Training for Math Word Problems with Large Language Models
Liang Dai, Dan Su, Bryan Wilie, Holy Lovenia +61 more
20230 citations
Semantic Scholar
It's Not Easy Being Wrong: Evaluating Process of Elimination Reasoning in Large Language Models
Nishant Balepur, Shramay Palta, Rachel Rudinger, Peter Clark +121 more
2023arXiv.org0 citations
Semantic Scholar
Why are NLP Models Fumbling at Elementary Math? A Survey of Automatic Word Problem Solvers
K. Cobbe, V. Kosaraju, Mo Bavarian, Jacob Hilton +39 more
20220 citations
Semantic Scholar
3 Quantifying Generalization 3 . 1 The CoinRun Environment
K. Cobbe
20180 citations
Semantic Scholar
Accelerating Checkers AI Evolution
K. Cobbe
20110 citations
Semantic Scholar
OpenAI Research Engineer Interviews (Multiple Choice)
Foundational Contributors, Ahmed El-Kishky, Daniel Selsam, Francis Song +204 more
0 citations
Semantic Scholar
Reducing Environmental Costs whilst Maintaining Operational Effectiveness in Large Language Models through Chain Routing
S. Wheeler, Melissa Torgbi, Harish Tayyar Madabushi, Peter Clark +443 more
0 citations
Semantic Scholar
Verification: Exploiting Information Gain for Speculative Decoding
Sungkyun Kim, Jaemin Kim, Dogyung Yoon, Junyeol Lee +63 more
0 citations
Semantic Scholar
Evaluate, Scale, and Credit: A Comprehensive Study on Multi-Agent Collaboration of Large Language Models
Christopher H. Brooks, E. Durfee, Chi-Min Chan, Weize Chen +76 more
0 citations
Semantic Scholar
Efﬁciently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity
Xuan Ren, Qi Chen, Lingqiao Liu, Peter Clark +28 more
0 citations
Semantic Scholar
Entropy-Guided LLM Decoding via Probabilistic Circuits
Zhi-Zhen Chen, Daniel Mingyi Israel, Guy Van den Broeck, Zhe Zeng +13 more
0 citations
Semantic Scholar
C 2 RBench: A Chinese Complex Reasoning Benchmark for Large Language Models
Jun-Ru Wu, Tianhao Shen, Linxi Su, Deyi Xiong +459 more
0 citations
Semantic Scholar
Dissecting similarities in self-consistency: An analysis on impact of semantic consistency on language model reasoning
Mark Chen, Jerry Tworek, Hee-woo Jun, Greg Brockman +52 more
0 citations
Semantic Scholar
States Hidden in Hidden States: LLMs Emerge Discrete State Representations Implicitly Anonymous ACL submission
Jan Carr, Joshua Leike, Vedant Achiam, Evan Misra +142 more
0 citations
Semantic Scholar
Refusing Intent, Not Form: Wrapper-Based Intent-Group Supervision for LLM Safety
Ping Wu, Hai-Bo Tong, Fei-Fei Zhao, Han Shen +79 more
0 citations
Semantic Scholar
Revive Legacy Scientific Reasoning Benchmarks by Growing Perturbation
Zhen Bi, Ningyu Zhang, Yi-Nuo Jiang, Shumin Deng +37 more
0 citations
Semantic Scholar
Formula-One Prompting: Equation-First Reasoning For Applied Mathematics
Natapong Nitarach, Pittawat Taveekitworachai, Kunat Pipatanakul, K. Cobbe +19 more
0 citations
Semantic Scholar
Boosting Large Language Model Reasoning with Theorem Proving
Wenhu Chen, Ming Yin, Max W.F. Ku, Pan Lu +78 more
0 citations
Semantic Scholar
B ENCH : Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions
Xun-Zhi Wang, Zhuo-Wei Zhang, Qiongyu Li, Gaonan Chen +209 more
0 citations
Semantic Scholar
Uncovering Factor-Level Preference to Improve Human-Model Alignment Anonymous ACL submission
Yuntao Bai, Saurav Kadavath, Sandipan Kundu, A. Askell +86 more
0 citations
Semantic Scholar
Mitigating Feedback Inconsistency in Large Language Model Self-Tuning Anonymous
Ebtesam Almazrouei, Hamza Alobeidli, A. A. shamsi, Alessandro Cappelli +202 more
0 citations
Semantic Scholar
Challenging Quadratic Attention - A Holistic View On the Rise of Alternative Language Model Architectures
Alexander M. Fichtl, Jeremias Bohn, Josefin Kelber, Edoardo Mosca +496 more
0 citations
Semantic Scholar
SciPedia: Unlocking the Value of Scientiﬁc Data for Pre-training
Yiwei Qin, Zhen Huang, Tian-Tian Mi, Weiye Si +22 more
0 citations
Semantic Scholar

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