The role of our AI research team is to develop technologies to power fully automated, done-for-you experiences with extremely high degrees of fidelity required in finance.
Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Sricharan Kumar (EMNLP’24)
Xiang Gao, Jiaxin Zhang, Lalla Mouatadid, Kamalika Das (EACL'24)
Jiaxin Zhang, Zhuohang Li, Kamalika Das, Sricharan Kumar (NeurIPS'23)
The goal of the University Collaboration Program is to strengthen Intuit’s AI portfolio through active engagement with the academic research community to solve problems that are pertinent to Intuit’s missions. A successful university collaboration enables Intuit to improve the state-of-the-art, both at Intuit and in the broader research community. Our University Collaboration Program follows an annual cycle, funding new research projects aligned with Intuit's evolving product needs. Research topics typically fall within our broad areas of focus and are initiated by Intuit team members, who partner with academic experts based on expertise alignment. To connect with us about potential collaborations, contact ai-research@intuit.com.
Some of our current and past university collaborators are:
Time series forecasting, Conversational Recommendation Systems
Dialog Systems, Incontext Learning for LLMs
Multimodal Image and Text Generation
Jiaxin Zhang from Intuit AI Research will be speaking at the Interpretability: Past, Present and Future Workshop at NeurIPS 2024.
The research team has 7 papers accepted at EMNLP 2024 in collaboration with our university partners.
Kamalika Das from Intuit AI Research was invited to give a keynote talk at the Machine Learning for Finance workshop at KDD 2024.
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