Shijie Wu

According to our database, Shijie Wu authored at least 28 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

BloombergGPT: A Large Language Model for Finance.

Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David S. Rosenberg, Gideon Mann

CoRR, 2023

Towards a Unified Multi-Domain Multilingual Named Entity Recognition Model.

Mayank Kulkarni, Daniel Preotiuc-Pietro, Karthik Radhakrishnan, Genta Indra Winata, Shijie Wu, Lingjue Xie, Shaohua Yang

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies.

Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning.

Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Shijie Wu, Xisen Jin, Pengxiang Cheng, Mayank Kulkarni, Daniel Preotiuc-Pietro

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

BoundaryFace: A mining framework with noise label self-correction for Face Recognition.

Shijie Wu, Xun Gong

CoRR, 2022

How Do Multilingual Encoders Learn Cross-lingual Representation?

Shijie Wu

CoRR, 2022

Zero-shot Cross-lingual Transfer is Under-specified Optimization.

Shijie Wu, Benjamin Van Durme, Mark Dredze

Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

Cross-lingual Few-Shot Learning on Unseen Languages.

Genta Indra Winata, Shijie Wu, Mayank Kulkarni, Thamar Solorio, Daniel Preotiuc-Pietro

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Bernice: A Multilingual Pre-trained Encoder for Twitter.

Alexandra DeLucia, Shijie Wu, Aaron Mueller, Carlos Aguirre, Philip Resnik, Mark Dredze

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BoundaryFace: A Mining Framework with Noise Label Self-correction for Face Recognition.

Shijie Wu, Xun Gong

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Weighted citation based on ranking-related contribution: a new index for evaluating article impact.

Yuanyuan Liu, Qiang Wu, Shijie Wu, Yong Gao

Scientometrics, 2021

Triple Attention Network architecture for MovieQA.

Ankit Shah, Tzu-Hsiang Lin, Shijie Wu

CoRR, 2021

Differentiable Generative Phonology.

Shijie Wu, Edoardo Maria Ponti, Ryan Cotterell

CoRR, 2021

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction.

Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Applying the Transformer to Character-level Transduction.

Shijie Wu, Ryan Cotterell, Mans Hulden

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection.

Ekaterina Vylomova, Jennifer C. White, Elizabeth Salesky, Sabrina J. Mielke, Shijie Wu, Edoardo Maria Ponti, Rowan Hall Maudslay, Ran Zmigrod, Josef Valvoda, Svetlana Toldova, Francis M. Tyers, Elena Klyachko, Ilya Yegorov, Natalia Krizhanovsky, Paula Czarnowska, Irene Nikkarinen, Andrew Krizhanovsky, Tiago Pimentel, Lucas Torroba Hennigen, Christo Kirov, Garrett Nicolai, Adina Williams, Antonios Anastasopoulos, Hilaria Cruz, Eleanor Chodroff, Ryan Cotterell, Miikka Silfverberg, Mans Hulden

Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, 2020

The SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion.

Kyle Gorman, Lucas F. E. Ashby, Aaron Goyzueta, Arya McCarthy, Shijie Wu, Daniel You

Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, 2020

Are All Languages Created Equal in Multilingual BERT?

Shijie Wu, Mark Dredze

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

Which *BERT? A Survey Organizing Contextualized Encoders.

Patrick Xia, Shijie Wu, Benjamin Van Durme

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Do Explicit Alignments Robustly Improve Multilingual Encoders?

Shijie Wu, Mark Dredze

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The Paradigm Discovery Problem.

Alexander Erdmann, Micha Elsner, Shijie Wu, Ryan Cotterell, Nizar Habash

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Emerging Cross-lingual Structure in Pretrained Language Models.

Alexis Conneau, Shijie Wu, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection.

Arya D. McCarthy, Ekaterina Vylomova, Shijie Wu, Chaitanya Malaviya, Lawrence Wolf-Sonkin, Garrett Nicolai, Christo Kirov, Miikka Silfverberg, S. J. Mielke, Jeffrey Heinz, Ryan Cotterell, Mans Hulden

CoRR, 2019

A Simple Joint Model for Improved Contextual Neural Lemmatization.

Chaitanya Malaviya, Shijie Wu, Ryan Cotterell

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT.

Shijie Wu, Mark Dredze

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Morphological Irregularity Correlates with Frequency.

Shijie Wu, Ryan Cotterell, Timothy J. O'Donnell

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Exact Hard Monotonic Attention for Character-Level Transduction.

Shijie Wu, Ryan Cotterell

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Hard Non-Monotonic Attention for Character-Level Transduction.

Shijie Wu, Pamela Shapiro, Ryan Cotterell

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018