Jonas Gehring

Computer Science · Physical Sciences

13h-index4.6kcitations35works3.62yr avg
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Research Topics

Speech Recognition and Synthesis(12), Natural Language Processing Techniques(9), Music and Audio Processing(9), Reinforcement Learning in Robotics(7), Speech and Audio Processing(7)

Publications35 total

Toward Training Superintelligent Software Agents through Self-Play SWE-RL
ArXiv.org·2025Open Access
Toward Training Superintelligent Software Agents through Self-Play SWE-RL
arXiv (Cornell University)·2025Open Access
CWM: An Open-Weights LLM for Research on Code Generation with World Models
arXiv (Cornell University)·2025Open Access
LLM Compiler: Foundation Language Models for Compiler Optimization
2025· 18 citedOpen Access
What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
arXiv (Cornell University)·2024Open Access
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
arXiv (Cornell University)·2024· 5 citedOpen Access
Meta Large Language Model Compiler: Foundation Models of Compiler Optimization
arXiv (Cornell University)·2024· 1 citedOpen Access
The Larger the Better? Improved LLM Code-Generation via Budget Reallocation
arXiv (Cornell University)·2024· 5 citedOpen Access
Large Language Models for Compiler Optimization
arXiv (Cornell University)·2023· 9 citedOpen Access
Code Llama: Open Foundation Models for Code
arXiv (Cornell University)·2023· 389 citedOpen Access
Leveraging Demonstrations with Latent Space Priors
arXiv (Cornell University)·2022· 2 citedOpen Access
Hierarchical Skills for Efficient Exploration
arXiv (Cornell University)·2021· 1 citedOpen Access
STARDATA: A StarCraft AI Research Dataset
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment·2021· 16 citedOpen Access
Growing Up Together: Structured Exploration for Large Action Spaces
2019
Forward Modeling for Partial Observation Strategy Games - A StarCraft\n Defogger
arXiv (Cornell University)·2018· 8 citedOpen Access
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger
arXiv (Cornell University)·2018· 16 citedOpen Access
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War
arXiv (Cornell University)·2018· 3 citedOpen Access
High-Level Strategy Selection under Partial Observability in StarCraft:\n Brood War
arXiv (Cornell University)·2018· 3 citedOpen Access
STARDATA: A StarCraft AI Research Dataset
arXiv (Cornell University)·2017· 29 citedOpen Access
Convolutional Sequence to Sequence Learning
International Conference on Machine Learning·2017· 1.3k cited
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Frequent Co-authors

Gabriel Synnaeve(16), Alex Waibel(10), Nicolas Usunier(8), Quốc Bảo Nguyễn(7), Vegard Mella(7), Kevin Kilgour(6), Michael Auli(4), David Grangier(4), Yann Dauphin(4), Baptiste Rozière(4), Zeming Lin(4), Vasil Khalidov(4), Volker Seeker(4), Hugh Leather(4), Daniel B. Gant(4), Sebastian Stüker(4), Fabian Gloeckle(3), Yossi Adi(3), Tal Remez(3), Jade Copet(3)