Hi! I am I am currently under a joint PhD programme between Alibaba DAMO Academy and Nanyang Technological University, Singapore, under the supervision of Prof. Luu Anh Tuan. During my PhD, I collaborated extensively with Dr. Wenxuan Zhang and Dr. Lidong Bing. Before that, I got my Master of Engineering degree and Bachelor of Engineering degree with First Class Honours at Nanyang Technological University, Singapore.

My research interests include Low-resource Natural Language Processing, Multilingual and Multimodal Large Language Models.

I am seeking full-time opportunities in the field of Large Language Models (LLMs) and Natural Language Processing (NLP), starting in August 2025. Please feel free to get in touch if you have any relevant openings.

Contact: chaoqun001@e.ntu.edu.sg

Open-Sourced Projects

• SeaLLMs-Audio: Large Audio-Language Models for Southeast Asia
  Chaoqun Liu, Mahani Aljunied, Guizhen Chen, Hou Pong Chan, Weiwen Xu, Yu Rong, Wenxuan Zhang.
  [Project Page] [Model] [DEMO] [Code]

• Babel - Open Multilingual Large Language Models Serving Over 90% of Global Speakers
  Yiran Zhao, Chaoqun Liu, Yue Deng, Jiahao Ying, Mahani Aljunied, Zhaodonghui Li, Lidong Bing, Hou Pong Chan, Yu Rong, Deli Zhao, Wenxuan Zhang.
  [Project Page] [Model] [Code] [Technical Report]

• SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages
  Wenxuan Zhang, Hou Pong Chan, Yiran Zhao, Mahani Aljunied, Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu, Yew Ken Chia, Xin Li, Lidong Bing
  NAACL 2025 System Demostration [Project Page] [Model] [DEMO] [Code] [Technical Report]

• SeaLLMs – Large Language Models for Southeast Asia
  Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing
  ACL 2024 System Demostration [Project Page] [Model] [DEMO] [Code] [Technical Report]

Publications [Google Scholar]

• FINEREASON: Evaluating and Improving LLMs’ Deliberate Reasoning through Reflective Puzzle Solving
  Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Chaoqun Liu, Lidong Bing, Deli Zhao, Anh Tuan Luu, Yu Rong
  ACL 2025 [Paper][Code]

• Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models
  Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, Anh Tuan Luu, Lidong Bing
  NAACL 2025 [Paper][Code]

• SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia
  Chaoqun Liu, Wenxuan Zhang, Jiahao Ying, Mahani Aljunied, Anh Tuan Luu, Lidong Bing
  Findings of NAACL 2025 [Paper][Code]

• Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels
  Chaoqun Liu, Qin Chao, Wenxuan Zhang, Xiaobao Wu, Boyang Li, Anh Tuan Luu, Lidong Bing
  COLING 2025 [Paper][Code]

• M-longdoc: A benchmark for multimodal super-long document understanding and a retrieval-aware tuning framework
  Yew Ken Chia, Liying Cheng, Hou Pong Chan, Chaoqun Liu, Maojia Song, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing
  arXiv preprint [Paper][Code]

• On the affinity, rationality, and diversity of hierarchical topic modeling Xiaobao Wu, Fengjun Pan, Thong Nguyen, Yichao Feng, Chaoqun Liu, Cong-Duy Nguyen, Anh Tuan Luu
  AAAI 2024 [Paper][Code]

• InfoCTM: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling
  Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu
  AAAI 2023 [Paper][Code]

• Zero-Shot Text Classification via Self-Supervised Tuning
  Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip Hong Chang, Lidong Bing
  Findings of ACL 2023 [Paper][Code][Model]

• A low power diode-clamped inverter-based strong physical unclonable function for robust and lightweight authentication
  Yuan Cao, Chao Qun Liu, Chip Hong Chang
  IEEE Transactions on Circuits and Systems I: Regular Papers（2018） [Paper]

• ACRO-PUF: A low-power, reliable and aging-resilient current starved inverter-based ring oscillator physical unclonable function
  Chao Qun Liu, Yuan Cao, Chip Hong Chang
  IEEE Transactions on Circuits and Systems I: Regular Papers（2017） [Paper]

• A new write-contention based dual-port SRAM PUF with multiple response bits per cell
  Chao Qun Liu, Yue Zheng, Chip-Hong Chang
  2017 IEEE International Symposium on Circuits and Systems (ISCAS) [Paper]

• Low-power, lightweight and reliability-enhanced current starved inverter based RO PUFs
  Chao Qun Liu, Yuan Cao, Chip-Hong Chang
  2016 IEEE Asia Pacific conference on circuits and systems (APCCAS) [Paper]

• Sizing of SRAM cell with voltage biasing techniques for reliability enhancement of memory and PUF functions
  Chip-Hong Chang, Chao Qun Liu, Le Zhang, Zhi Hui Kong
  Journal of Low Power Electronics and Applications (2016) [Paper]

• Statistical analysis and design of 6T SRAM cell for physical unclonable function with dual application modes
  Le Zhang, Chip-Hong Chang, Zhi Hui Kong, Chao Qun Liu
  2015 IEEE International Symposium on Circuits and Systems (ISCAS) [Paper]

Awards

• Alibaba Talent Programme Full Scholarship, 2021-2025.
• MediaTek 2019 Mission in Action Q3 winner.
• Research Scholarship under the EDB Joint Industry Postgraduate Programme(JIP) (2015-2017).
• Dean’s list (2012-2013 & 2013-2014) (Top 5% in the academic year).
• Ministry of Education (MOE) PRC Scholarship (SM3) (2011-2015).