Deep Research

Time series forecasting in real-world settings often depends not only on historical observations, but also on external context that …

Yihong Tang, Andrew Williams, Arjun Ashok, Vincent Zhihao Zheng, Lijun Sun, Alexandre Drouin, Issam H. Laradji, Étienne Marcotte, Valentina Zantedeschi

Workshop at the International Conference of Machine Learning (ICML), 2026.

We introduce DRBench, a benchmark for evaluating AI agents on complex, open-ended deep research tasks in enterprise settings. Unlike …

Amirhossein Abaskohi, Tianyi Chen, Miguel Muñoz-Mármol, Curtis Fox, Amrutha Ramesh, Étienne Marcotte, Xing Han Lu, Nicolas Chapados, Spandana Gella, Christopher Pal, Alexandre Drouin, Issam H. Laradji

International Conference on Learning Representations, 2026.

We introduce DRBench, a benchmark for evaluating AI agents on complex, open-ended enterprise deep research tasks. Unlike existing …

Amirhossein Abaskohi, Spandana Gella, Giuseppe Carenini, Issam H. Laradji

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.

Literature reviews are an essential component of scientific research, but they remain time-intensive and challenging to write, …

Gaurav Sahu, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Krishnamurthy (Dj) Dvijotham, Jason Stanley, Laurent Charlin, Christopher Pal

Transactions on Machine Learning Research (TMLR), 2025.