| The importance of modeling data missingness in algorithmic fairness: A causal perspective N Goel, A Amayuelas, A Deshpande, A Sharma Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7564-7573, 2021 | 32 | 2021 |
| Neural methods for logical reasoning over knowledge graphs A Amayuelas, S Zhang, XS Rao, C Zhang International Conference on Learning Representations, 2022 | 28 | 2022 |
| Knowledge of knowledge: Exploring known-unknowns uncertainty with large language models A Amayuelas, K Wong, L Pan, W Chen, W Wang arXiv preprint arXiv:2305.13712, 2023 | 26 | 2023 |
| Understanding the reasoning ability of language models from the perspective of reasoning paths aggregation X Wang, A Amayuelas, K Zhang, L Pan, W Chen, WY Wang arXiv preprint arXiv:2402.03268, 2024 | 2 | 2024 |
| DebUnc: Mitigating Hallucinations in Large Language Model Agent Communication with Uncertainty Estimations L Yoffe, A Amayuelas, WY Wang arXiv preprint arXiv:2407.06426, 2024 | | 2024 |
| Generalization vs. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data A Antoniades, X Wang, Y Elazar, A Amayuelas, A Albalak, K Zhang, ... ICML 2024 Workshop on Foundation Models in the Wild, 2024 | | 2024 |
| DistiLRR: Transferring Code Repair for Low-Resource Programming Languages K Wong, A Amayuelas, L Pan, WY Wang arXiv preprint arXiv:2406.14867, 2024 | | 2024 |
| MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate A Amayuelas, X Yang, A Antoniades, W Hua, L Pan, W Wang arXiv preprint arXiv:2406.14711, 2024 | | 2024 |
