de Vries, Harm

14 publications

ICLR 2025 BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions Terry Yue Zhuo, Vu Minh Chien, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, James Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, Binyuan Hui, Niklas Muennighoff, David Lo, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro Von Werra

ICLRW 2025 Parameter-Efficient Instruction Tuning Code Large Language Models: An Empirical Study Terry Yue Zhuo, Armel Randy Zebaze, Leandro Von Werra, Harm de Vries, Qian Liu, Niklas Muennighoff

NeurIPS 2024 SelfCodeAlign: Self-Alignment for Code Generation Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang

TMLR 2023 StarCoder: May the Source Be with You! Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Joel Lamy-Poirier, Joao Monteiro, Nicolas Gontier, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Ben Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, Jason T Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Urvashi Bhattacharyya, Wenhao Yu, Sasha Luccioni, Paulo Villegas, Fedor Zhdanov, Tony Lee, Nadav Timor, Jennifer Ding, Claire S Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro Von Werra, Harm de Vries

TMLR 2023 The Stack: 3 TB of Permissively Licensed Source Code Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Yacine Jernite, Margaret Mitchell, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro Von Werra, Harm de Vries

ICCV 2021 Generative Compositional Augmentations for Scene Graph Prediction Boris Knyazev, Harm de Vries, Cătălina Cangea, Graham W. Taylor, Aaron Courville, Eugene Belilovsky

ICLR 2019 Systematic Generalization: What Is Required and Can It Be Learned? Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron Courville

Distill 2018 Feature-Wise Transformations Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville, Yoshua Bengio

AAAI 2018 FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville

ECCV 2018 Visual Reasoning with Multi-Hop Feature Modulation Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jeremie Mary, Philippe Preux, Aaron CourvilleOlivier Pietquin

IJCAI 2017 End-to-End Optimization of Goal-Driven and Visually Grounded Dialogue Systems Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin

CVPR 2017 GuessWhat?! Visual Object Discovery Through Multi-Modal Dialogue Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron Courville

NeurIPS 2017 Modulating Early Visual Processing by Language Harm de Vries, Florian Strub, Jeremie Mary, Hugo Larochelle, Olivier Pietquin, Aaron C. Courville

NeurIPS 2015 Equilibrated Adaptive Learning Rates for Non-Convex Optimization Yann Dauphin, Harm de Vries, Yoshua Bengio