Mingda Chen

According to our database, Mingda Chen authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

2024

Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering.

Mingda Chen, Xilun Chen, Wen-tau Yih

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

A contradiction solving method for complex product conceptual design based on deep learning and technological evolution patterns.

Jiangmin Mao, Yingdan Zhu, Mingda Chen, Gang Chen, Chun Yan, Dong Liu

Adv. Eng. Informatics, January, 2023

RA-DIT: Retrieval-Augmented Dual Instruction Tuning.

Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih

CoRR, 2023

Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis.

Mingda Chen, Xilun Chen, Wen-tau Yih

CoRR, 2023

Findings of the IWSLT 2023 Evaluation Campaign.

Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Estève, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, Dávid Javorský, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny Matusov, Paul McNamee, John P. McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Proyag Pal, Juan Pino, Lonneke van der Plas, Peter Polák, Elijah Rippeth, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Yun Tang, Brian Thompson, Kevin Tran, Marco Turchi, Alex Waibel, Mingxuan Wang, Shinji Watanabe, Rodolfo Zevallos

Proceedings of the 20th International Conference on Spoken Language Translation, 2023

xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages.

Mingda Chen, Kevin Heffernan, Onur Çelebi, Alexandre Mourachko, Holger Schwenk

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric.

Mingda Chen, Paul-Ambroise Duquenne, Pierre Andrews, Justine Kao, Alexandre Mourachko, Holger Schwenk, Marta R. Costa-jussà

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

2022

Leveraging Natural Supervision for Language Representation Learning and Generation.

Mingda Chen

CoRR, 2022

Improving In-Context Few-Shot Learning via Self-Supervised Training.

Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SummScreen: A Dataset for Abstractive Screenplay Summarization.

Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

TVRecap: A Dataset for Generating Stories with Character Descriptions.

Mingda Chen, Kevin Gimpel

CoRR, 2021

WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections.

Mingda Chen, Sam Wiseman, Kevin Gimpel

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Generating Wikipedia Article Sections from Diverse Data Sources.

Mingda Chen, Sam Wiseman, Kevin Gimpel

CoRR, 2020

Controllable Paraphrasing and Translation with a Syntactic Exemplar.

Mingda Chen, Sam Wiseman, Kevin Gimpel

CoRR, 2020

Learning Probabilistic Sentence Representations from Paraphrases.

Mingda Chen, Kevin Gimpel

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

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut

Proceedings of the 8th International Conference on Learning Representations, 2020

Mining Knowledge for Natural Language Inference from Wikipedia Categories.

Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions.

Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Evaluation Benchmarks and Learning Criteriafor Discourse-Aware Sentence Representations.

Mingda Chen, Zewei Chu, Kevin Gimpel

CoRR, 2019

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations.

Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel

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

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations.

Mingda Chen, Zewei Chu, Kevin Gimpel

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

EntEval: A Holistic Evaluation Benchmark for Entity Representations.

Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel

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

Controllable Paraphrase Generation with a Syntactic Exemplar.

Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel

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

2018

Smaller Text Classifiers with Discriminative Cluster Embeddings.

Mingda Chen, Kevin Gimpel

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Variational Sequential Labelers for Semi-Supervised Learning.

Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel

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