Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Leveraging GPT-4 for Automatic Translation Post-Editing.
CoRR, 2023
How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation.
CoRR, 2023
Leveraging GPT-4 for Automatic Translation Post-Editing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
On Hard Episodes in Meta-Learning.
CoRR, 2021
Semi-Supervised Few-Shot Intent Classification and Slot Filling.
CoRR, 2021
Data Augmentation for Meta-Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021
Meta-Learning Effective Exploration Strategies for Contextual Bandits.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Learning with Minimal Supervision: New Meta-Learning and Reinforcement Learning Algorithms.
PhD thesis, 2020
Random Network Distillation as a Diversity Metric for Both Image and Text Generation.
CoRR, 2020
Meta-Learning for Few-Shot NMT Adaptation.
Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020
Active Imitation Learning with Noisy Guidance.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Meta-Learning for Contextual Bandit Exploration.
CoRR, 2019
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems.
CoRR, 2018
Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback.
Proceedings of the 6th International Conference on Learning Representations, 2018
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task.
Proceedings of the Second Conference on Machine Translation, 2017
Structured Prediction via Learning to Search under Bandit Feedback.
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017
Real-Time Multi-scale Action Detection from 3D Skeleton Data.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015
Visual Comparison of Images Using Multiple Kernel Learning for Ranking.
Proceedings of the British Machine Vision Conference 2015, 2015