| 2023 | ICML | Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. | Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich |
| 2023 | WACV | Augmentation by Counterfactual Explanation -Fixing an Overconfident Classifier. | Sumedha Singla, Nihal Murali, Forough Arabshahi, Sofia Triantafyllou, Kayhan Batmanghelich |
| 2021 | AAAI | Conversational Neuro-Symbolic Commonsense Reasoning. | Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell |
| 2021 | EMNLP | Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. | Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell |
| 2019 | EMNLP | Look-up and Adapt: A One-shot Semantic Parser. | Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell |
| 2018 | ICLR | Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs. | Forough Arabshahi, Sameer Singh, Animashree Anandkumar |
| 2017 | AISTATS | Spectral Methods for Correlated Topic Models. | Forough Arabshahi, Anima Anandkumar |
| 2015 | ICDM | Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models]. | Forough Arabshahi, Furong Huang, Animashree Anandkumar, Carter T. Butts, Sean M. Fitzhugh |