Weiting Tan
Weiting Tan
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Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
H Xu, A Sharaf, Y Chen, W Tan, L Shen, B Van Durme, K Murray, YJ Kim
ICML 2024, 2024
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts
L Shen, W Tan, S Chen, Y Chen, J Zhang, H Xu, B Zheng, P Koehn, ...
findings of ACL 2024, 2024
Multilingual Representation Distillation with Contrastive Learning
W Tan, K Heffernan, H Schwenk, P Koehn
EACL 2023, 2023
Bitext Mining for Low-Resource Languages via Contrastive Learning
W Tan, P Koehn
arXiv preprint arXiv:2208.11194, 2022
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
L Shen, W Tan, B Zheng, D Khashabi
findings of EMNLP 2023, 2023
Narrowing the Gap between Zero-and Few-shot Machine Translation by Matching Styles
W Tan, H Xu, L Shen, SS Li, K Murray, P Koehn, B Van Durme, Y Chen
findings of NAACL 2024, 2023
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
H Xu, W Tan, SS Li, Y Chen, B Van Durme, P Koehn, K Murray
EMNLP 2023, 2023
It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF
T Lu, L Shen, X Yang, W Tan, B Chen, H Yao
arXiv preprint arXiv:2406.07971, 2024
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
W Tan, J Zhang, L Shen, D Khashabi, P Koehn
arXiv preprint arXiv:2405.13274, 2024
Streaming Sequence Transduction through Dynamic Compression
W Tan, Y Chen, T Chen, G Qin, H Xu, HC Zhang, B Van Durme, P Koehn
arXiv preprint arXiv:2402.01172, 2024
Structure-Aware Path Inference for Neural Finite State Transducers
W Tan, C Lin, J Eisner
NeurIPS (ICBINB workshop), 2023
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation
W Tan, S Ding, H Khayrallah, P Koehn
AMTA 2022, 2022
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