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Amr Sharaf

Observed name: Sharaf, Amr
OpenAlex ID: A5068614789
How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation
2023 · Hendy, Amr, Abdelrehim, Mohamed, et al. · arXiv (Cornell University) · 202
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Real-Time Multi-scale Action Detection from 3D Skeleton Data
2015 · Amr Sharaf, Marwan Torki, et al. · IEEE Winter Conference on Applications of Computer Vision · 50
Data Augmentation for Meta-Learning
2020 · Ni, Renkun, Goldblum, Micah, et al. · arXiv (Cornell University) · 47
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Leveraging GPT-4 for Automatic Translation Post-Editing
2023 · Vikas Raunak, Amr Sharaf, et al. · 44
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A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
2023 · Xu, Haoran, Kim, Young Jin, et al. · arXiv (Cornell University) · 34
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Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
2024 · Xu, Haoran, Sharaf, Amr, et al. · arXiv (Cornell University) · 24
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Meta-Learning for Few-Shot NMT Adaptation
2020 · Amr Sharaf, Hany Hassan, et al. · 24
Active Imitation Learning with Noisy Guidance
2020 · Kianté Brantley, Hal Daumé III, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 14
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Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints
2022 · Amr Sharaf, Hal Daume III, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 10
Meta-Learning for Contextual Bandit Exploration
2019 · Sharaf, Amr, Daumé, Hal · arXiv (Cornell University) · 8
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Structured Prediction via Learning to Search under Bandit Feedback
2017 · Amr Sharaf, Hal Daumé III · 8
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Semi-Supervised Few-Shot Intent Classification and Slot Filling
2021 · Basu, Samyadeep, Chong, Karine lp Kiun, et al. · arXiv (Cornell University) · 7
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Strategies to Improve Few-shot Learning for Intent Classification and Slot-Filling
2022 · Samyadeep Basu, Amr Sharaf, et al. · 6
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Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback
2018 · Hal Daumé, John Langford, et al. · International Conference on Learning Representations · 5
Meta-Learning for Few-Shot NMT Adaptation
2020 · Sharaf, Amr, Hassan, Hany, et al. · arXiv (Cornell University) · 3
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The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task
2017 · Amr Sharaf, Shi Feng, et al. · Conference on Machine Translation (WMT) · 2
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Visual Comparison of Images Using Multiple Kernel Learning for Ranking
2015 · Amr Sharaf, Mohamed E. Hussein, et al. · British Machine Vision Conference (BMVC) · 2
On Hard Episodes in Meta-Learning
2021 · Basu, Samyadeep, Sharaf, Amr, et al. · arXiv (Cornell University) · 1
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Random Network Distillation as a Diversity Metric for Both Image and Text Generation
2020 · Fowl, Liam, Goldblum, Micah, et al. · arXiv (Cornell University) · 1
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Cross-Lingual Approaches to Reference Resolution in Dialogue Systems
2018 · Sharaf, Amr, Gupta, Arpit, et al. · arXiv (Cornell University) · 1
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The Alignment Waltz: Jointly Training Agents to Collaborate for Safety
2025 · Zhang, Jingyu, Wang, Haozhu, et al. · arXiv (Cornell University)
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A Flexible Measurement of Diversity in Datasets with Random Network Distillation
2021 · Liam Fowl, Micah Goldblum, et al.
Meta-Learning Effective Exploration Strategies for Contextual Bandits
2021 · Amr Sharaf, Hal Daumé III · Proceedings of the AAAI Conference on Artificial Intelligence
Learning with Minimal Supervision: New Meta-Learning and Reinforcement Learning Algorithms
2020 · Sharaf, Amr · University Libraries (University of Maryland)
Cross-Lingual Approaches to Reference Resolution in Spoken Dialogue
2018 · Amr Sharaf, Arpit Gupta, et al.
Works count: 26
Citation count: 493
H-index: 9
I10-index: 9
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