ServiceNow Research

Harm de Vries

Harm de Vries

Research Lead

Large Language Models Lab

Harm de Vries is a Research Scientist in the Human-Machine Interaction Through Language program at ServiceNow Research. He holds a PhD in Computer Science from Mila, Universite de Montreal, where he was supervised by Aaron Courville. During his PhD, he worked on machine learning methods for (visually) grounded language understanding. He’s currently focused on how NLP methods can improve human-machine interaction and is therefore interested in a wide range of research topics such as large language models, semantic parsing, task-oriented dialogue, and text2code. His research has been published in EMNLP, ICLR, NeurIPS, CVPR, and ECCV.

Interests
  • Text2Code
  • Semantic Parsing
  • Large Language Models

Publications

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, Mishig Davaadorj, Joel Lamy Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, 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. At ArXiv,  2023.

PDF Cite

The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents. Xing Han Lu, Siva Reddy, Harm de Vries. At European Chapter of the Association for Computational Linguistics (EACL),  2023.

PDF Cite

SantaCoder: don't reach for the stars!. Harm de Vries, Raymond Li, Joel Lamy Poirier, Dzmitry Bahdanau, Denis Kocetkov, Sean Hughes. At Workshop at the International Conference on Learning Representations (ICLR),  2023.

PDF Cite

The Power of Prompt Tuning for Low-Resource Semantic Parsing. Nathan Schucher, Siva Reddy, Harm de Vries. At Annual Meeting of the Association for Computational Linguistics (ACL),  2022.

PDF Cite

TopiOCQA: Open-domain Conversational Question Answering with Topic Switching. Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy. At Annual Meeting of the Association for Computational Linguistics (ACL),  2022.

PDF Cite Code

Generative Compositional Augmentations for Scene Graph Prediction. Boris Knyazev, Harm de Vries, Cătălina Cangea, Graham W. Taylor, Aaron Courville, Eugene Belilovsky. At International Conference on Computer Vision (ICCV),  2021.

PDF Cite

DuoRAT: Towards Simpler Text-to-SQL Models. Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Christopher Pal. At North American Chapter of the Association for Computational Linguistics (NAACL),  2021.

PDF Cite Code

Graph-Density Aware Losses for Novel Compositions in Scene Graph Generation. Boris Knyazev, Harm de Vries, Cătălina Cangea, Graham Taylor, Aaron Courville, Eugene Belilovsky. At Britsh Machine Vision Conference (BMVC),  2020.

PDF Cite Code

Towards Ecologically Valid Research on Language User Interfaces. Harm de Vries, Dzmitry Bahdanau, Chris Manning. At ArXiv,  2020.

PDF Cite

CLOSURE: Assessing Systematic Generalization of CLEVR models. Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio, Aaron Courville. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite Code

Systematic Generalization: What Is Required and Can It Be Learned?. Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron Courville. At International Conference on Learning Representations (ICLR),  2019.

PDF Cite