| 2024 | ICLR | A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models. | Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla |
| 2024 | ICML | Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. | Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim |
| 2023 | EMNLP | Leveraging GPT-4 for Automatic Translation Post-Editing. | Vikas Raunak, Amr Sharaf, Yiren Wang, Hany Hassan Awadalla, Arul Menezes |
| 2021 | AAAI | Meta-Learning Effective Exploration Strategies for Contextual Bandits. | Amr Sharaf, Hal Daum III |
| 2021 | ICML | Data Augmentation for Meta-Learning. | Renkun Ni, Micah Goldblum, Amr Sharaf, Kezhi Kong, Tom Goldstein |
| 2020 | ACL | Active Imitation Learning with Noisy Guidance. | Kiant Brantley, Hal Daum III, Amr Sharaf |
| 2018 | ICLR | Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback. | Hal Daum III, John Langford, Amr Sharaf |
| 2017 | EMNLP | Structured Prediction via Learning to Search under Bandit Feedback. | Amr Sharaf, Hal Daum III |
| 2015 | BMVC | Visual Comparison of Images Using Multiple Kernel Learning for Ranking. | Amr Sharaf, Mohamed E. Hussein, Mohamed A. Ismail |
| 2015 | WACV | Real-Time Multi-scale Action Detection from 3D Skeleton Data. | Amr Sharaf, Marwan Torki, Mohamed E. Hussein, Motaz El-Saban |