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Shaomu Tan
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2020 – today
- 2024
- [c4]Di Wu, Shaomu Tan, Yan Meng, David Stap, Christof Monz:
How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data. ACL (Findings) 2024: 15092-15108 - [i7]Di Wu, Shaomu Tan, Yan Meng, David Stap, Christof Monz:
How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data. CoRR abs/2401.12413 (2024) - [i6]Shaomu Tan, Di Wu, Christof Monz:
Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation. CoRR abs/2404.11201 (2024) - 2023
- [c3]Shaomu Tan, Christof Monz:
Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance. EMNLP 2023: 13553-13568 - [c2]Baohao Liao, Shaomu Tan, Christof Monz:
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. NeurIPS 2023 - [c1]Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz:
UvA-MT's Participation in the WMT 2023 General Translation Shared Task. WMT 2023: 175-180 - [i5]Baohao Liao, Shaomu Tan, Christof Monz:
Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. CoRR abs/2306.00477 (2023) - [i4]Sotirios Kastanas, Shaomu Tan, Yi He:
Document AI: A Comparative Study of Transformer-Based, Graph-Based Models, and Convolutional Neural Networks For Document Layout Analysis. CoRR abs/2308.15517 (2023) - [i3]Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz:
UvA-MT's Participation in the WMT23 General Translation Shared Task. CoRR abs/2310.09946 (2023) - [i2]Shaomu Tan, Christof Monz:
Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance. CoRR abs/2310.10385 (2023) - 2022
- [i1]Shaomu Tan, Denis Paperno:
Towards leveraging latent knowledge and Dialogue context for real-world conversational question answering. CoRR abs/2212.08946 (2022)
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last updated on 2024-08-26 22:14 CEST by the dblp team
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