Do Xuan Long

Do Xuan Long

CS Ph.D. student at National University of Singapore (NUS)

About

Hi, thanks for visiting! I’m Long (*), an incoming Ph.D. student at the Department of Computer Science, National University of Singapore (NUS). My research interests lie in the field of Natural Language Processing (NLP) and Machine Learning (ML). Nowadays, I am especially excited about making generative models more aligned with the human purpose.

I graduated from Nanyang Technological University, Singapore (NTU) where I was advised by Prof. Shafiq Joty. At NTU, I finished my B.Sc. in Mathematical and Computer Sciences with a nomination for SPMS Outstanding Undergraduate Award.

(*) my name means Dragon in Vietnamese context.

Education

Experiences

Research

The topics I have been working on include:

  • Vision-Language
  • Question Answering & Generation
  • Text Classification
  • Code Understanding and Generation
  • AI Applications (Education, Recommender Systems)

Preprints

3. UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning

Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, Enamul Hoque, Shafiq Joty
arXiv preprint arXiv:2305.14761, [pdf]

2. Retrieving Multimodal Information for Augmented Generation: A Survey

Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty
arXiv preprint arXiv:2303.10868, [pdf]

1. xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval

Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, Weishi Wang, Md Rizwan Parvez, Shafiq Joty
arXiv preprint arXiv:2303.03004, [pdf]

Publications

5. Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation

Xuan Long Do, Bowei Zou, Shafiq Joty, Anh Tai Tran, Liangming Pan, Nancy F. Chen, Ai Ti Aw
To appear at 61st Annual Meeting of Association for Computational Lingustics (ACL 2023), [pdf]

4. CoHS-CQG: Context and History Selection for Conversational Question Generation

Xuan Long Do, Bowei Zou, Liangming Pan, Nancy F. Chen, Shafiq Joty, Ai Ti Aw
Proceedings of the 29th International Conference on Computational Lingustics (COLING 2022), [pdf]

3. OpenCQA: Open-ended Question Answering with Charts

Shankar Kantharaj, Xuan Long Do, Rixie Tiffany Leong, Jia Qing Tan, Enamul Hoque and Shafiq Joty
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), [pdf]

2. ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Ahmed Masry, Do Xuan Long, Jia Qing Tan, Shafiq Joty, Enamul Hoque
Proceedings of Findings of 60th Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2022), [pdf]

1. A Deep Learning Platform for Language Education Research and Development

Kye Min Tan, Richeng Duan, Xin Huang, Bowei Zou, Xuan Long Do
Proceedings of 2022 Conference of the International Speech Communication Association (INTERSPEECH 2022), [pdf]

Awards

  • NTU President Research Scholar, 2022
  • ACM-ICPC Jakarta Regional Contest 2021, 2022, team NTUDragons & WCRush, ICPCID
  • Second Place Award, ISC 2021 Student Cluster Competition
  • Second Prize, International Mathematics Competition for University Students 2020 (IMC)
  • Dean’s List AY2019-2020, School of Computer Science and Engineering (SCSE), NTU
  • Gold Medal, Iranian Geometry Olympiad 2018, Open Section (IGO)
  • Honorable Prize, Vietnamese Mathematical Olympiads 2018 (VMO)

Service & Volunteer

  • Reviewer:
    • Journals: IEEE/ACM TASLP (Jan 2023)
    • Conferences: ACL RR (Feb 2023, Dec 2022), COLING (2022)
  • Student Volunteer Award: ACL (2022), EMNLP (2022)

Media Coverage