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2025

• FACTORY: A Challenging Human-Verified Prompt Set for Long-Form Factuality
  Mingda Chen, Yang Li, Xilun Chen, Adina Williams, Gargi Ghosh, Scott Wen-tau Yih
  arXiv Preprint, 2025
  arXiv / Dataset

• 😈ImpRAG: Retrieval-Augmented Generation with Implicit Queries
  Wenzheng Zhang, Victoria Lin, Karl Stratos, Scott Wen-tau Yih, Mingda Chen
  Findings of EMNLP, 2025
  arXiv

• The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation
  AI at Meta
  Blog

• Improving Factuality with Explicit Working Memory
  Mingda Chen, Yang Li, Karthik Padthe, Rulin Shao, Alicia Sun, Luke Zettlemoyer, Gargi Ghosh, Scott Wen-tau Yih
  Proceedings of ACL, 2025
  arXiv / BibTex

• Characterizing and Efficiently Accelerating Multimodal Generation Model Inference
  Yejin Lee, Alicia Golden, Anna 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, Samuel Hsia, Scott Yih, Sravya Popuri, Xing Liu, and Carole-Jean Wu
  IEEE Micro, 2025
  arXiv

2024

• Chameleon: Mixed-Modal Early-Fusion Foundation Models
  Meta FAIR Chameleon Team
  arXiv Preprint, 2024
  arXiv

• LLlama 3.2: Revolutionizing edge AI and vision with open, customizable models
  AI at Meta
  Blog

• Few-Shot Data Synthesis for Open-Domain Multi-Hop Question Answering
  Mingda Chen, Xilun Chen, Scott Wen-tau Yih
  Proceedings of EACL, 2024 (Oral)
  arXiv / BibTex

2023

• RA-DIT: Retrieval-Augmented Dual Instruction Tuning
  Victoria Lin*, Xilun Chen*, Mingda Chen*, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Wen-tau Yih
  Proceedings of ICLR, 2023
  arXiv / BibTex

• Findings of the IWSLT 2023 Evaluation Campaign
  Milind Agarwal, 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, and Rodolfo Zevallos
  Proceedings of IWSLT, 2023
  PDF / BibTex

• 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 ACL, 2023
  arXiv / BibTex

• xSIM: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages
  Mingda Chen*, Kevin Heffernan*, Onur Çelebi, Alexandre Mourachko, Holger Schwenk
  Proceedings of ACL, 2023 (Oral)
  arXiv / BibTex

2022

• Leveraging Natural Supervision for Language Representation Learning and Generation
  Mingda Chen
  PhD Thesis, 2022
  arXiv / BibTex

• 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 NAACL, 2022
  arXiv / Poster / Slides / BibTex

• SummScreen: A Dataset for Abstractive Screenplay Summarization
  Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel
  Proceedings of ACL, 2022 (Oral)
  arXiv / Poster / Slides / Data / BibTex

2021

• TVRecap: A Dataset for Generating Stories with Character Descriptions
  Mingda Chen, Kevin Gimpel
  arXiv Preprint, 2021
  arXiv / Data / BibTex

• WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections
  Mingda Chen, Sam Wiseman, Kevin Gimpel
  Findings of ACL, 2021
  arXiv / Code / BibTex

2020

• Exemplar-Controllable Paraphrasing and Translation using Bitext
  Mingda Chen, Sam Wiseman, Kevin Gimpel
  arXiv Preprint, 2020
  arXiv / Data / BibTex

• Mining Knowledge for Natural Language Inference from Wikipedia Categories
  Mingda Chen*, Zewei Chu*, Karl Stratos, Kevin Gimpel, Kevin Gimpel
  Findings of EMNLP, 2020
  arXiv / Code / BibTex

• Learning Probabilistic Sentence Representations from Paraphrases
  Mingda Chen, Kevin Gimpel
  Proceedings of RepL4NLP at ACL, 2020
  arXiv / Slides / BibTex

• 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 ICLR, 2020 (Spotlight)
  arXiv / Code / BibTex

• 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 AAAI, 2020 (Oral)
  arXiv / Data / BibTex

2019

• EntEval: A Holistic Evaluation Benchmark for Entity Representations
  Mingda Chen*, Zewei Chu*, Yang Chen, Karl Stratos, Kevin Gimpel
  Proceedings of EMNLP, 2019
  arXiv / Poster / Code / BibTex

• Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations
  Mingda Chen*, Zewei Chu*, Kevin Gimpel
  Proceedings of EMNLP, 2019 (Oral)
  arXiv / Slides / Code / BibTex

• Controllable Paraphrase Generation with a Syntactic Exemplar
  Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
  Proceedings of ACL, 2019
  arXiv / Poster / Code / Train and Eval Data / BibTex

• A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
  Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
  Proceedings of NAACL-HLT, 2019
  arXiv / Poster / 1-Minute Slides / Code / Train Data / Eval Data / BibTex

2018

• Variational Sequential Labelers for Semi-Supervised Learning
  Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel
  Proceedings of EMNLP, 2018 (Oral)
  PDF / Appendix / Slides / Code / BibTex

• Smaller Text Classifiers with Discriminative Cluster Embeddings
  Mingda Chen, Kevin Gimpel
  Proceedings of NAACL-HLT, 2018
  PDF / Poster / Code / BibTex