Haotian Ye
According to our database1,
Haotian Ye
authored at least 26 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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2025
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
CoRR, 2024
CoRR, 2024
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts.
CoRR, 2024
CoRR, 2024
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo.
CoRR, 2023
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021