Workshop Paper
Our paper, titled “AGENTIQL: An Agent-Inspired Multi-Expert Framework for Text-to-SQL Generation”,has been accepted to the Neurips 2025: 1st workshop on Efficient Reasoning (ER).
Omid Reza Heidari
Omid Reza Heidari recieved his M.Sc. from Concordia University, under the supervision of Professor Yang Wang and Professor Xinxin Zuo. Prior to that, he concluded his undergraduate studies at Islamic Azad University. His area of interest includes Multimodal Vision-Language, Large Language Models, Multimodal AI Agents, and Reinforcement Learning.
News
Poster Presentation
Our poster, titled “Analysis of Cultural Biases in Large Language Models“,has been presented at Concordia University.
Best Poster Award
Our poster, titled “Retrieval Augmented Generation for Natural Language Query in Egocentric Videos“,has been selected as the best poster in poster presentation at Mila - Quebec AI Institute.