Mingda Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
7
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Improving Factuality with Explicit Working Memory. | Mingda Chen, Yang Li, Karthik Padthe, Rulin Shao, Alicia Yi Sun, Luke Zettlemoyer, Gargi Ghosh, Wen-tau Yih |
| 2025 | APSEC | CAMUS: Context-Aware Neural Mutation Selection. | Mingda Chen, Bo Wang, Youfang Lin, Jie M. Zhang |
| 2025 | EMNLP | ImpRAG: Retrieval-Augmented Generation with Implicit Queries. | Wenzheng Zhang, Xi Victoria Lin, Karl Stratos, Wen-tau Yih, Mingda Chen |
| 2024 | EACL | Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering. | Mingda Chen, Xilun Chen, Wen-tau Yih |
| 2024 | ICLR | RA-DIT: Retrieval-Augmented Dual Instruction Tuning. | 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 | ACL | 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-juss |
| 2023 | ACL | xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages. | Mingda Chen, Kevin Heffernan, Onur elebi, Alexandre Mourachko, Holger Schwenk |
| 2022 | ACL | SummScreen: A Dataset for Abstractive Screenplay Summarization. | Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel |
| 2022 | NAACL | Improving In-Context Few-Shot Learning via Self-Supervised Training. | Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva |
| 2021 | ACL | WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections. | Mingda Chen, Sam Wiseman, Kevin Gimpel |
| 2020 | AAAI | 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 |
| 2020 | EMNLP | Mining Knowledge for Natural Language Inference from Wikipedia Categories. | Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel |
| 2020 | ICLR | ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. | Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut |
| 2019 | ACL | Controllable Paraphrase Generation with a Syntactic Exemplar. | Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel |
| 2019 | EMNLP | EntEval: A Holistic Evaluation Benchmark for Entity Representations. | Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel |
| 2019 | EMNLP | Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations. | Mingda Chen, Zewei Chu, Kevin Gimpel |
| 2019 | NAACL | A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. | Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel |
| 2018 | EMNLP | Variational Sequential Labelers for Semi-Supervised Learning. | Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel |
| 2018 | NAACL | Smaller Text Classifiers with Discriminative Cluster Embeddings. | Mingda Chen, Kevin Gimpel |