Shuyan Zhou
Shuyan Zhou
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Improving robustness of neural machine translation with multi-task learning
S Zhou, X Zeng, Y Zhou, A Anastasopoulos, G Neubig
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
Soft gazetteers for low-resource named entity recognition
S Rijhwani, S Zhou, G Neubig, J Carbonell
arXiv preprint arXiv:2005.01866, 2020
Improving candidate generation for low-resource cross-lingual entity linking
S Zhou, S Rijhwani, J Wieting, J Carbonell, G Neubig
Transactions of the Association for Computational Linguistics 8, 109-124, 2020
Towards zero-resource cross-lingual entity linking
S Zhou, S Rijhwani, G Neubig
arXiv preprint arXiv:1909.13180, 2019
Aggregated semantic matching for short text entity linking
F Nie, S Zhou, J Liu, J Wang, CY Lin, R Pan
Proceedings of the 22nd Conference on Computational Natural Language …, 2018
Hierarchical Control of Situated Agents through Natural Language
S Zhou, P Yin, G Neubig
arXiv preprint arXiv:2109.08214, 2021
Language models of code are few-shot commonsense learners
A Madaan, S Zhou, U Alon, Y Yang, G Neubig
arXiv preprint arXiv:2210.07128, 2022
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data
S Zhou, L Zhang, Y Yang, Q Lyu, P Yin, C Callison-Burch, G Neubig
arXiv preprint arXiv:2203.07264, 2022
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages
Z Wang, G Cuenca, S Zhou, FF Xu, G Neubig
arXiv preprint arXiv:2203.08388, 2022
PAL: Program-aided Language Models
L Gao, A Madaan, S Zhou, U Alon, P Liu, Y Yang, J Callan, G Neubig
arXiv preprint arXiv:2211.10435, 2022
DocPrompting: Generating Code by Retrieving the Docs
S Zhou, U Alon, FF Xu, Z Wang, Z Jiang, G Neubig
arXiv preprint arXiv:2207.05987, 2022
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