Rabbany, Reihaneh
27 publications
ICLRW
2025
From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions
Ruben Weijers, Denton Wu, Hannah Betts, Tamara Jacod, Yuxiang Guan, Vidya Sujaya, Kushal Dev, William Delooze, Reihaneh Rabbany, Ying Wu, Jean-François Godbout, Kellin Pelrine ICLRW
2025
From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions
Ruben Weijers, Denton Wu, Hannah Betts, Tamara Jacod, Yuxiang Guan, Vidya Sujaya, Kushal Dev, Toshali Goel, William Delooze, Reihaneh Rabbany, Ying Wu, Jean-François Godbout, Kellin Pelrine IJCAI
2025
SandboxSocial: A Sandbox for Social Media Using Multimodal AI Agents
Maximilian Puelma Touzel, Sneheel Sarangi, Gayatri Krishnakumar, Busra Tugce Gurbuz, Austin Welch, Zachary Yang, Andreea Musulan, Hao Yu, Ethan Kosak-Hine, Tom Gibbs, Camille Thibault, Reihaneh Rabbany, Jean-François Godbout, Dan Zhao, Kellin Pelrine IJCAI
2025
Veracity: An Open-Source AI Fact-Checking System
Taylor Lynn Curtis, Maximilian Puelma Touzel, William Garneau, Manon Gruaz, Mike Pinder, Li Wei Wang, Sukanya Krishna, Luda Cohen, Jean-François Godbout, Reihaneh Rabbany, Kellin Pelrine NeurIPSW
2024
Simulation System Towards Solving Societal-Scale Manipulation
Maximilian Puelma Touzel, Sneheel Sarangi, Austin Welch, Gayatri K, Dan Zhao, Zachary Yang, Hao Yu, Tom Gibbs, Ethan Kosak-Hine, Andreea Musulan, Camille Thibault, Busra Tugce Gurbuz, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine NeurIPSW
2024
Simulation System Towards Solving Societal-Scale Manipulation
Maximilian Puelma Touzel, Sneheel Sarangi, Austin Welch, Gayatri K, Dan Zhao, Zachary Yang, Hao Yu, Tom Gibbs, Ethan Kosak-Hine, Andreea Musulan, Camille Thibault, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine NeurIPS
2024
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau ICLR
2024
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michał Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters