| Studying Large Language Model Behaviors Under Realistic Knowledge Conflicts E Kortukov, A Rubinstein, E Nguyen, SJ Oh arXiv preprint arXiv:2404.16032, 2024 | 4 | 2024 |
| Trustworthy machine learning B Mucsányi, M Kirchhof, E Nguyen, A Rubinstein, SJ Oh arXiv preprint arXiv:2310.08215, 2023 | 4 | 2023 |
| Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models L Scimeca, A Rubinstein, D Teney, SJ Oh, AM Nicolicioiu, Y Bengio arXiv preprint arXiv:2311.16176, 2023 | 1 | 2023 |
| Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks L Scimeca, A Rubinstein, AM Nicolicioiu, D Teney, Y Bengio arXiv preprint arXiv:2310.02230, 2023 | 1 | 2023 |
| Scalable Ensemble Diversification for OOD Generalization and Detection A Rubinstein, L Scimeca, D Teney, SJ Oh arXiv preprint arXiv:2409.16797, 2024 | | 2024 |
| Do Deep Neural Network Solutions Form a Star Domain? A Sonthalia, A Rubinstein, E Abbasnejad, SJ Oh arXiv preprint arXiv:2403.07968, 2024 | | 2024 |
| Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents E Kortukov, A Rubinstein, E Nguyen, SJ Oh First Conference on Language Modeling, 0 | | |
