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ORCIDMingda Chen
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2020 – today
- 2024
[c18]Mingda Chen, Xilun Chen, Wen-tau Yih:
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering. EACL (1) 2024: 190-208- [c17]Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. ICLR 2024 - [i22]Bo Wang, Mingda Chen, Youfang Lin, Mike Papadakis, Jie M. Zhang:
An Exploratory Study on Using Large Language Models for Mutation Testing. CoRR abs/2406.09843 (2024) - [i21]Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu:
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. CoRR abs/2410.00215 (2024) - 2023
- [j1]Jiangmin Mao, Yingdan Zhu, Mingda Chen, Gang Chen, Chun Yan, Dong Liu:
A contradiction solving method for complex product conceptual design based on deep learning and technological evolution patterns. Adv. Eng. Informatics 55: 101825 (2023) - [c16]Mingda Chen, Kevin Heffernan, Onur Çelebi, Alexandre Mourachko, Holger Schwenk:
xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages. ACL (2) 2023: 101-109 - [c15]Mingda Chen, Paul-Ambroise Duquenne, Pierre Andrews, Justine Kao, Alexandre Mourachko, Holger Schwenk, Marta R. Costa-jussà:
BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric. ACL (1) 2023: 9064-9079 - [c14]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:
Findings of the IWSLT 2023 Evaluation Campaign. IWSLT@ACL 2023: 1-61 - [i20]Mingda Chen, Xilun Chen, Wen-tau Yih:
Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis. CoRR abs/2305.13691 (2023) - [i19]Mingda Chen, Kevin Heffernan, Onur Çelebi, Alexandre Mourachko, Holger Schwenk:
xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages. CoRR abs/2306.12907 (2023) - [i18]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:
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. CoRR abs/2310.01352 (2023) - 2022
- [c13]Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel:
SummScreen: A Dataset for Abstractive Screenplay Summarization. ACL (1) 2022: 8602-8615 - [c12]Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva:
Improving In-Context Few-Shot Learning via Self-Supervised Training. NAACL-HLT 2022: 3558-3573 - [i17]Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva:
Improving In-Context Few-Shot Learning via Self-Supervised Training. CoRR abs/2205.01703 (2022) - [i16]Mingda Chen:
Leveraging Natural Supervision for Language Representation Learning and Generation. CoRR abs/2207.10617 (2022) - [i15]Mingda Chen, Paul-Ambroise Duquenne, Pierre Andrews, Justine Kao, Alexandre Mourachko, Holger Schwenk, Marta R. Costa-jussà:
BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric. CoRR abs/2212.08486 (2022) - 2021
- [c11]Mingda Chen, Sam Wiseman, Kevin Gimpel:
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections. ACL/IJCNLP (Findings) 2021: 193-209 - [i14]Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel:
SummScreen: A Dataset for Abstractive Screenplay Summarization. CoRR abs/2104.07091 (2021) - [i13]Mingda Chen, Kevin Gimpel:
TVRecap: A Dataset for Generating Stories with Character Descriptions. CoRR abs/2109.08833 (2021) - 2020
- [c10]Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si:
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. AAAI 2020: 7586-7593 - [c9]Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel:
Mining Knowledge for Natural Language Inference from Wikipedia Categories. EMNLP (Findings) 2020: 3500-3511 - [c8]Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut:
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. ICLR 2020 - [c7]Mingda Chen, Kevin Gimpel:
Learning Probabilistic Sentence Representations from Paraphrases. RepL4NLP@ACL 2020: 17-23 - [i12]Mingda Chen, Kevin Gimpel:
Learning Probabilistic Sentence Representations from Paraphrases. CoRR abs/2005.08105 (2020) - [i11]Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel:
Mining Knowledge for Natural Language Inference from Wikipedia Categories. CoRR abs/2010.01239 (2020) - [i10]Mingda Chen, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrasing and Translation with a Syntactic Exemplar. CoRR abs/2010.05856 (2020) - [i9]Mingda Chen, Sam Wiseman, Kevin Gimpel:
Generating Wikipedia Article Sections from Diverse Data Sources. CoRR abs/2012.14919 (2020)
2010 – 2019
- 2019
- [c6]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrase Generation with a Syntactic Exemplar. ACL (1) 2019: 5972-5984 - [c5]Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel:
EntEval: A Holistic Evaluation Benchmark for Entity Representations. EMNLP/IJCNLP (1) 2019: 421-433 - [c4]Mingda Chen, Zewei Chu, Kevin Gimpel:
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations. EMNLP/IJCNLP (1) 2019: 649-662 - [c3]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. NAACL-HLT (1) 2019: 2453-2464 - [i8]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. CoRR abs/1904.01173 (2019) - [i7]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrase Generation with a Syntactic Exemplar. CoRR abs/1906.00565 (2019) - [i6]Mingda Chen, Kevin Gimpel:
Smaller Text Classifiers with Discriminative Cluster Embeddings. CoRR abs/1906.09532 (2019) - [i5]Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel:
Variational Sequential Labelers for Semi-Supervised Learning. CoRR abs/1906.09535 (2019) - [i4]Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel:
EntEval: A Holistic Evaluation Benchmark for Entity Representations. CoRR abs/1909.00137 (2019) - [i3]Mingda Chen, Zewei Chu, Kevin Gimpel:
Evaluation Benchmarks and Learning Criteriafor Discourse-Aware Sentence Representations. CoRR abs/1909.00142 (2019) - [i2]Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut:
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. CoRR abs/1909.11942 (2019) - [i1]Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si:
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. CoRR abs/1911.09247 (2019) - 2018
- [c2]Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel:
Variational Sequential Labelers for Semi-Supervised Learning. EMNLP 2018: 215-226 - [c1]Mingda Chen, Kevin Gimpel:
Smaller Text Classifiers with Discriminative Cluster Embeddings. NAACL-HLT (2) 2018: 739-745
Coauthor Index
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