Mingda Chen - RankMe

53 papers A* 4C 1Journal 32Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair. Autom. Softw. Eng. Bo Wang, Ming Deng, Mingda Chen, Youfang Lin, Jianyi Zhou, Jie M. Zhang
2026	J	`jnl`	Boosting LLMs for Mutation Generation. CoRR Bo Wang, Ming Deng, Mingda Chen, Chengran Yang, Youfang Lin, Mark Harman, Mike Papadakis, Jie M. Zhang
2025	J	`jnl`	A Survey on Diffusion Language Models. CoRR Tianyi Li, Mingda Chen, Bowei Guo, Zhiqiang Shen
2025	J	`jnl`	A Systematic Exploration of Mutation-Based Fault Localization Formulae. Softw. Test. Verification Reliab. Bo Wang, Jinkang Wei, Mingda Chen, Chong Chen, Youfang Lin, Jie M. Zhang
2025	J	`jnl`	A triple-phase boost transformer for industrial equipment fault prediction. Neurocomputing Ruiyun Yu, Mingda Chen, Bin Liu
2025	C	`conf`	CAMUS: Context-Aware Neural Mutation Selection. APSEC Mingda Chen, Bo Wang, Youfang Lin, Jie M. Zhang
2025	J	`jnl`	Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. IEEE Micro Yejin Lee, Alicia Golden, 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 Rodríguez, Ram Pasunuru, Samuel Hsia, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu
2025	J	`jnl`	FACTORY: A Challenging Human-Verified Prompt Set for Long-Form Factuality. CoRR Mingda Chen, Yang Li, Xilun Chen, Adina Williams, Gargi Ghosh, Scott Yih
2025	—	`conf`	ImpRAG: Retrieval-Augmented Generation with Implicit Queries. EMNLP (Findings) Wenzheng Zhang, Xi Victoria Lin, Karl Stratos, Wen-tau Yih, Mingda Chen
2025	J	`jnl`	ImpRAG: Retrieval-Augmented Generation with Implicit Queries. CoRR Wenzheng Zhang, Xi Victoria Lin, Karl Stratos, Wen-tau Yih, Mingda Chen
2025	—	`conf`	Improving Factuality with Explicit Working Memory. ACL (1) Mingda Chen, Yang Li, Karthik Padthe, Rulin Shao, Alicia Yi Sun, Luke Zettlemoyer, Gargi Ghosh, Wen-tau Yih
2024	J	`jnl`	An Exploratory Study on Using Large Language Models for Mutation Testing. CoRR Bo Wang, Mingda Chen, Youfang Lin, Mike Papadakis, Jie M. Zhang
2024	J	`jnl`	Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. CoRR 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
2024	—	`conf`	Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering. EACL (1) Mingda Chen, Xilun Chen, Wen-tau Yih
2024	J	`jnl`	Improving Factuality with Explicit Working Memory. CoRR Mingda Chen, Yang Li, Karthik Padthe, Rulin Shao, Alicia Sun, Luke Zettlemoyer, Gargi Gosh, Wen-tau Yih
2024	A*	`conf`	RA-DIT: Retrieval-Augmented Dual Instruction Tuning. ICLR 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
2023	J	`jnl`	A contradiction solving method for complex product conceptual design based on deep learning and technological evolution patterns. Adv. Eng. Informatics Jiangmin Mao, Yingdan Zhu, Mingda Chen, Gang Chen, Chun Yan, Dong Liu
2023	—	`conf`	BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric. ACL (1) Mingda Chen, Paul-Ambroise Duquenne, Pierre Andrews, Justine Kao, Alexandre Mourachko, Holger Schwenk, Marta R. Costa-jussà
2023	J	`jnl`	Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis. CoRR Mingda Chen, Xilun Chen, Wen-tau Yih
2023	—	`conf`	Findings of the IWSLT 2023 Evaluation Campaign. IWSLT@ACL 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
2023	J	`jnl`	RA-DIT: Retrieval-Augmented Dual Instruction Tuning. CoRR 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
2023	—	`conf`	xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages. ACL (2) Mingda Chen, Kevin Heffernan, Onur Çelebi, Alexandre Mourachko, Holger Schwenk
2023	J	`jnl`	xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages. CoRR Mingda Chen, Kevin Heffernan, Onur Çelebi, Alexandre Mourachko, Holger Schwenk
2022	J	`jnl`	BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric. CoRR Mingda Chen, Paul-Ambroise Duquenne, Pierre Andrews, Justine Kao, Alexandre Mourachko, Holger Schwenk, Marta R. Costa-jussà
2022	—	`conf`	Improving In-Context Few-Shot Learning via Self-Supervised Training. NAACL-HLT Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva
2022	J	`jnl`	Improving In-Context Few-Shot Learning via Self-Supervised Training. CoRR Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva
2022	J	`jnl`	Leveraging Natural Supervision for Language Representation Learning and Generation. CoRR Mingda Chen
2022	—	`conf`	SummScreen: A Dataset for Abstractive Screenplay Summarization. ACL (1) Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel
2021	J	`jnl`	SummScreen: A Dataset for Abstractive Screenplay Summarization. CoRR Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel
2021	J	`jnl`	TVRecap: A Dataset for Generating Stories with Character Descriptions. CoRR Mingda Chen, Kevin Gimpel
2021	—	`conf`	WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections. ACL/IJCNLP (Findings) Mingda Chen, Sam Wiseman, Kevin Gimpel
2020	A*	`conf`	ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. ICLR Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut
2020	J	`jnl`	Controllable Paraphrasing and Translation with a Syntactic Exemplar. CoRR Mingda Chen, Sam Wiseman, Kevin Gimpel
2020	J	`jnl`	Generating Wikipedia Article Sections from Diverse Data Sources. CoRR Mingda Chen, Sam Wiseman, Kevin Gimpel
2020	A*	`conf`	How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. AAAI Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si
2020	—	`conf`	Learning Probabilistic Sentence Representations from Paraphrases. RepL4NLP@ACL Mingda Chen, Kevin Gimpel
2020	J	`jnl`	Learning Probabilistic Sentence Representations from Paraphrases. CoRR Mingda Chen, Kevin Gimpel
2020	—	`conf`	Mining Knowledge for Natural Language Inference from Wikipedia Categories. EMNLP (Findings) Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel
2020	J	`jnl`	Mining Knowledge for Natural Language Inference from Wikipedia Categories. CoRR Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel
2019	—	`conf`	A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. NAACL-HLT (1) Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
2019	J	`jnl`	A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. CoRR Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
2019	J	`jnl`	ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. CoRR Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut
2019	—	`conf`	Controllable Paraphrase Generation with a Syntactic Exemplar. ACL (1) Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
2019	J	`jnl`	Controllable Paraphrase Generation with a Syntactic Exemplar. CoRR Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
2019	—	`conf`	EntEval: A Holistic Evaluation Benchmark for Entity Representations. EMNLP/IJCNLP (1) Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel
2019	J	`jnl`	EntEval: A Holistic Evaluation Benchmark for Entity Representations. CoRR Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel
2019	—	`conf`	Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations. EMNLP/IJCNLP (1) Mingda Chen, Zewei Chu, Kevin Gimpel
2019	J	`jnl`	Evaluation Benchmarks and Learning Criteriafor Discourse-Aware Sentence Representations. CoRR Mingda Chen, Zewei Chu, Kevin Gimpel
2019	J	`jnl`	How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. CoRR Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si
2019	J	`jnl`	Smaller Text Classifiers with Discriminative Cluster Embeddings. CoRR Mingda Chen, Kevin Gimpel
2019	J	`jnl`	Variational Sequential Labelers for Semi-Supervised Learning. CoRR Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel
2018	—	`conf`	Smaller Text Classifiers with Discriminative Cluster Embeddings. NAACL-HLT (2) Mingda Chen, Kevin Gimpel
2018	A*	`conf`	Variational Sequential Labelers for Semi-Supervised Learning. EMNLP Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel