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Multi-modal Learning
ServiceNow AI Research
Multi-modal Learning
StarVector: Generating Scalable Vector Graphics Code from Images and Text
Scalable Vector Graphics (SVGs) are vital for modern image rendering due to their scalability and versatility. Previous SVG generation …
Juan A. Rodriguez
,
Abhay Puri
,
Shubham Agarwal
,
Issam H. Laradji
,
Pau Rodriguez
,
Sai Rajeswar Mudumba
,
David Vazquez
,
Christopher Pal
,
Marco Pedersoli
AAAI Demos, 2025.
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Video
BigDocs: A Permissively-Licensed Dataset for Training Vision-Language Models on Document and Code Tasks
Vision and language models that can accurately understand both images and text are crucial for deeper document understanding. These …
Juan A. Rodriguez
,
Xiangru Jian
,
Siba Smarak Panigrahi
,
Tianyu Zhang
,
Aarash Feizi
,
Abhay Puri
,
Akshay Kalkunte
,
Francois Savard
,
Amirhossein Abaskohi
,
Ahmed Masry
,
Shravan Nayak
,
Mahsa Massoud
,
Rabiul Awal
,
Pierre-André Noël
,
Mats L. Richter
,
Saverio Vadacchino
,
Shubham Agarwal
,
Sanket Biswas
,
Ying Zhang
,
Sathwik Tejaswi Madhusudhan
,
João Monteiro
,
Krishnamurthy (Dj) Dvijotham
,
Torsten Scholak
,
Nicolas Chapados
,
Sean Hughes
,
Tamer Özsu
,
Aishwarya Agrawal
,
Marco Pedersoli
,
Christopher Pal
,
Perouz Taslakian
,
David Vazquez
,
Issam H. Laradji
,
Spandana Gella
,
Sai Rajeswar Mudumba
Workshop at the Neural Information Processing Systems (NeurIPS), 2024.
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Video
Multimodal foundation world models for generalist embodied agents
Learning generalist agents, able to solve multitudes of tasks in different domains is a long-standing problem. Reinforcement learning …
Pietro Mazzaglia
,
Tim Verbelen
,
Bart Dhoedt
,
Aaron Courville
,
Sai Rajeswar Mudumba
Neural Information Processing Systems (NeurIPS), 2024.
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Code
Representing Positional Information in Generative World Models for Object Manipulation
The ability to predict outcomes of interactions between embodied agents and objects is paramount in the robotic setting. While …
Stefano Ferraro
,
Pietro Mazzaglia
,
Tim Verbelen
,
Sai Rajeswar Mudumba
Workshop at the Neural Information Processing Systems (NeurIPS), 2024.
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VCR: Visual Caption Restoration
We introduce Visual Caption Restoration (VCR), a novel vision-language task that challenges models to accurately restore partially …
Tianyu Zhang
,
Suyuchen Wang
,
Lu Li
,
Ge Zhang
,
Perouz Taslakian
,
Sai Rajeswar Mudumba
,
Jie Fu
,
Bang Liu
,
Yoshua Bengio
Workshop at the Neural Information Processing Systems (NeurIPS), 2024.
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WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
The ability of large language models (LLMs) to mimic human-like intelligence has led to a surge in LLM-based autonomous agents. Though …
Léo Boisvert
,
Megh Thakkar
,
Maxime Gasse
,
Massimo Caccia
,
Thibault Le Sellier De Chezelles
,
Quentin Cappart
,
Nicolas Chapados
,
Alexandre Lacoste
,
Alexandre Drouin
NeurIPS Datasets and Benchmarks Track (NeurIPS Datasets), 2024.
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Code
Video
Multimodal foundation world models for generalist embodied agents
Learning generalist embodied agents, able to solve multitudes of tasks in different domains is a long-standing problem. Reinforcement …
Pietro Mazzaglia
,
Tim Verbelen
,
Bart Dhoedt
,
Aaron Courville
,
Sai Rajeswar Mudumba
Workshop at the International Conference of Machine Learning (ICML), 2024.
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Code
InCoRo: In-Context Learning for Robotics Control with Feedback Loops
One of the challenges in robotics is to enable robotic units with the reasoning capability that would be robust enough to execute …
Jiaquiang Ye Zhu
,
Carla Gomez
,
David Vazquez
,
Michal Drozdzal
ArXiv, 2024.
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StarVector: Generating Scalable Vector Graphics Code from Images and Text
Scalable Vector Graphics (SVGs) have become integral in modern image rendering and graphic design applications due to their infinite …
Juan A. Rodriguez
,
Shubham Agarwal
,
Abhay Puri
,
Issam H. Laradji
,
Sai Rajeswar Mudumba
,
Pau Rodriguez
,
David Vazquez
,
Christopher Pal
,
Marco Pedersoli
ArXiv, 2024.
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Are Diffusion Models Vision-And-Language Reasoners?
Text-conditioned image generation models have recently shown immense qualitative success using denoising diffusion processes. However, …
Benno Krojer
,
Elinor Poole-Dayan
,
Vikram Voleti
,
Christopher Pal
,
Siva Reddy
Conference on Neural Information Processing Systems (NeurIPS), 2023.
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