ServiceNow AI Research

Natural Language Processing

Context is Key: A Benchmark for Forecasting with Essential Textual Information
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Forecasting is a critical task in decision-making across numerous domains. While historical numerical data provide a start, they fail …
Andrew Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
International Conference on Machine Learning (ICML),  2025.
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StarVector: Generating Scalable Vector Graphics Code from Images and Text
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
Computer Vision and Pattern Recognition (CVPR),  2025.
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BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks
Multimodal AI has the potential to significantly enhance document-understanding tasks, such as processing receipts, understanding …
Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, Francois Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats L. Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, João Monteiro, Krishnamurthy (Dj) Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar Mudumba
International Conference of Learning Representations (ICLR),  2025.
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InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Data analytics is essential for extracting valuable insights from data that can assist organizations in making effective decisions. We …
Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Amirhossein Abaskohi, Mohammad (Aaron) Chegini , Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vazquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar Mudumba, Issam H. Laradji
International Conference of Learning Representations (ICLR),  2025.
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StarVector: Generating Scalable Vector Graphics Code from Images and Text
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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BigDocs: A Permissively-Licensed Dataset for Training Vision-Language Models on Document and Code Tasks
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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Context is Key: A Benchmark for Forecasting with Essential Textual Information
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …
Andrew Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
Workshop at the Neural Information Processing Systems (NeurIPS),  2024.
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VCR: Visual Caption Restoration
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
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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Context is Key: A Benchmark for Forecasting with Essential Textual Information
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …
Andrew Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
Foundation Models for Time Series,  2024.
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