| State-of-the-art generalisation research in NLP: a taxonomy and review D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ... arXiv:2210.03050, 2022 | 50 | 2022 |
| A taxonomy and review of generalization research in NLP D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ... Nature Machine Intelligence 5 (10), 1161-1174, 2023 | 21 | 2023 |
| MCP: a multi-component learning machine to predict protein secondary structure L Khalatbari, MR Kangavari, S Hosseini, H Yin, NM Cheung Computers in biology and medicine 110, 144-155, 2019 | 12 | 2019 |
| Aisocrates: Towards answering ethical quandary questions Y Bang, N Lee, T Yu, L Khalatbari, Y Xu, D Su, EJ Barezi, A Madotto, ... ArXiv, abs/2205.05989, 2022 | 5 | 2022 |
| Towards Answering Open-ended Ethical Quandary Questions Y Bang, N Lee, T Yu, L Khalatbari, Y Xu, S Cahyawijaya, D Su, B Wilie, ... AI for Social Good Workshop @AAAI, 2023 | 3 | 2023 |
| Protein secondary structure prediction: a literature review with focus on machine learning approaches L Khalatbari, M Kangavari Journal of Computer & Robotics 8 (1), 9--24, 2015 | 3 | 2015 |
| High-Dimension Human Value Representation in Large Language Models S Cahyawijaya, D Chen, Y Bang, L Khalatbari, B Wilie, Z Ji, E Ishii, ... arXiv preprint arXiv:2404.07900, 2024 | | 2024 |
| Learn What NOT to Learn: Towards Generative Safety in Chatbots L Khalatbari, Y Bang, D Su, W Chung, S Ghadimi, H Sameti, P Fung arXiv preprint arXiv:2304.11220, 2023 | | 2023 |
| MCP: a multi-component learning machine for prediction of protein secondary structure based on d-FKNN and edit-SVM L Khalatbari, MR Kangavari, S Hosseini, H Yin, NM Cheung arXiv preprint arXiv:1806.06394, 2018 | | 2018 |
