Originally from Beijing, China, I am currently a Ph.D. student at MIT CSAIL advised by Yoon Kim. I work on natural language processing. I received my M.S. in computer science, B.S. in computer science, and B.A. in linguistics from the University of Washington.
I love computers, languages, and teaching computers to understand languages. On this path, I have done research at the Allen Institute for Artificial Intelligence (AI2) (as a PYI), and at the University of Washington with Prof. Noah Smith and Prof. Fei Xia. I have also worked on many interesting NLP and machine learning problems in the industry when I interned at Google, Meta, and other places.
With Alexis and Shannon, we have built a platform, cs-sop.org, where past applicants to CS PhD programs have generously shared their statements of purpose and other advice. We hope this could be a useful resource for future applicants.
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Zhaofeng Wu,
Ananth Balashankar,
Yoon Kim,
Jacob Eisenstein, and
Ahmad Beirami
To appear in Empirical Methods in Natural Language Processing (EMNLP), 2024.
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William Merrill*,
Zhaofeng Wu*,
Norihito Naka,
Yoon Kim, and
Tal Linzen
In Findings of the Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2024.
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Zhaofeng Wu,
Linlu Qiu,
Alexis Ross,
Ekin Akyürek,
Boyuan Chen,
Bailin Wang,
Najoung Kim,
Jacob Andreas, and
Yoon Kim
In North American Chapter of the Association for Computational Linguistics (NAACL), 2024.
[slides]
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Yihong Tang,
Zhaokai Wang,
Ao Qu,
Yihao Yan,
Zhaofeng Wu,
Dingyi Zhuang,
Jushi Kai,
Kebing Hou,
Xiaotong Guo,
Jinhua Zhao,
Zhan Zhao, and
Wei Ma
To appear in Empirical Methods in Natural Language Processing (EMNLP): Industry Track, 2024.
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Zhaofeng Wu,
William Merrill,
Hao Peng,
Iz Beltagy, and
Noah A. Smith
In Transactions of the Association for Computational Linguistics (TACL), 2023.
[slides]
[poster]
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Alisa Liu,
Zhaofeng Wu,
Julian Michael,
Alane Suhr,
Peter West,
Alexander Koller,
Swabha Swayamdipta,
Noah A. Smith, and
Yejin Choi
In Empirical Methods in Natural Language Processing (EMNLP), 2023.
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Zhaofeng Wu,
Robert L. Logan IV,
Pete Walsh,
Akshita Bhagia,
Dirk Groeneveld,
Sameer Singh, and
Iz Beltagy
In Empirical Methods in Natural Language Processing (EMNLP), 2022.
[poster]
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Zhaofeng Wu,
Hao Peng,
Nikolaos Pappas, and
Noah A. Smith
In Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), 2022.
[poster]
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Hao Peng,
Jungo Kasai,
Nikolaos Pappas,
Dani Yogatama,
Zhaofeng Wu,
Lingpeng Kong,
Roy Schwartz, and
Noah A. Smith
In Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
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Zhaofeng Wu
Unpublished manuscript, 2022.
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Zhaofeng Wu,
Hao Peng, and
Noah A. Smith
In Transactions of the Association for Computational Linguistics (TACL), 2021.
[slides]
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Zhaofeng Wu and
Matt Gardner
In Workshop on Computational Models of Reference, Anaphora and Coreference @ EMNLP, 2021.
[slides]
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Zhaofeng Wu,
Ding Zhao,
Qiao Liang,
Jiahui Yu,
Anmol Gulati, and
Ruoming Pang
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
[slides]
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Zhaofeng Wu,
Yan Song,
Sicong Huang,
Yuanhe Tian, and
Fei Xia
In BioNLP Workshop and Shared Task @ ACL, 2019.
Talks
Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment
Brown
April 2024
Generalization in the LLM Era
University of Utah, University of Virginia CS 6501
March 2024
Language Models: A Reality Check
UIUC CS 598, NYU, Cornell, Princeton, Google
September – November 2023
Graph Neural Networks for NLP
UW CSE 481N
May 2021
Awards
TIME Magazine’s Person of the Year in 2006
2008 感动中国年度人物特别奖