About me

I am a researcher at Apple’s Foundation Models post-training team, focusing on improving models' agentic and tool use capabilities. I obtained my Ph.D. in Computer Science from the School of Interactive Computing of the Georgia Institute of Technology, where I am advised by Prof. Wei Xu. My Ph.D. research mainly focuses on Natural Language Processing (NLP) and Large Language Models (LLMs), particularly in the areas of text revision and multilingual NLP.

I received my M.S. degree in Computer Science from the University of Virginia, where I did some research on representation learning for NLP with Prof. Kai-Wei Chang. I received my B.E. in Communication Engineering from the School of Electrical and Information Engineering at Tianjin University.

For complete information, please refer to my resume.

Publications

• Studying Text Revision in Scientific Writing
  Chao Jiang
  Ph.D. Thesis
  
• MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain
  Chao Jiang, Wei Xu
  EMNLP 2024 (Oral Presentation, received a meta-score of 5 out of 5)
  [arXiv] [data] [slides]
• Frustratingly Easy Label Projection for Cross-lingual Transfer
  Yang Chen, Chao Jiang, Alan Ritter, Wei Xu
  Findings of ACL 2023
  [arXiv]
• arXivEdits: Understanding the Human Revision Process in Scientific Writing
  Chao Jiang, Wei Xu, Samuel Stevens
  EMNLP 2022
  [arXiv] [data] [poster] [short slides] [long slides] [3-minute video on Youtube]
• Improving Large-scale Paraphrase Acquisition and Generation
  Yao Dou, Chao Jiang, Wei Xu
  EMNLP 2022
  [arXiv] [data/leaderboard]
• Neural semi-Markov CRF for Monolingual Word Alignment
  Wuwei Lan*, Chao Jiang*, Wei Xu (* indicates equal contribution.)
  ACL 2021 (Oral Presentation)
  [arXiv] [data/code] [slides] [video on Youtube]
• Neural CRF Model for Sentence Alignment in Text Simplification
  Chao Jiang, Mounica Maddela, Wuwei Lan, Yang Zhong, Wei Xu
  ACL 2020 (Oral Presentation, been used and cited by >150 papers)
  [arXiv] [data/code] [slides] [video on Youtube]
• Discourse Level Factors for Sentence Deletion in Text Simplification
  Yang Zhong, Chao Jiang, Wei Xu, Junyi Jessy Li
  AAAI 2020 (Oral Presentation)
  [arXiv] [slides by Yang Zhong]
• Learning Word Embeddings for Low-Resource Languages by PU Learning
  Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang
  NAACL-HLT 2018 (Oral Presentation)
  [arXiv] [code] [slides] [video]

Preprints

• Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks
  Wasi Uddin Ahmad, Xueying Bai, Zhechao Huang, Chao Jiang, Nanyun Peng, Kai-Wei Chang
  [arXiv]

Education

• Georgia Institute of Technology
  Ph.D. student in Computer Science
  Aug. 2020 -- Dec. 2024
• The Ohio State University
  Ph.D. student in Computer Science and Engineering
  Aug. 2018 -- Aug. 2020
• University of Virginia
  M.S. in Computer Science
  Aug. 2016 -- May 2018
• Tianjin University
  B.S. in Communication Engineering
  Aug. 2011 -- Jun. 2015

Experience

• Apple AIML, Siri Information Intelligence
  Machine Learning Engineering Intern
  May. 2024 -- August 2024
• Georgia Institute of Technology
  Research Assistant with Professor Wei Xu
  Aug. 2020 -- Present
• Georgia Institute of Technology
  Teaching Assistant for graudate-level natural language processing course
  2022 -- 2024
• The Ohio State University
  Research Assistant with Professor Wei Xu
  Jan. 2019 -- Aug. 2020
• The Ohio State University
  Teaching Assistant for undergraduate-level algorithm course
  Aug. 2018 -- Dec. 2018
• University of Virginia
  Teaching Assistant for undergraduate-level machine learning course
  Jan. 2018 -- May 2018

Contact

chaojiang06 AT gmail.com