I am a PhD student at National University of Singapore, advised by Prof. Bryan Low and Dr. Chuan-Sheng Foo. My research is supported by the A*STAR Computing and Information Science (ACIS) Scholar. My research lies at the LLM and data valuation.
Publications and preprints
Papers sorted by recency.
NICE: Non-Differentiable Evaluation Metric-Based Data Selection for Instruction Tuning
Jingtan Wang*, Xiaoqiang Lin, Rui Qiao, Pang Wei Koh, Chuang-sheng Foo, Bryan Kian Hsiang Low
International Conference on Machine Learning (ICML), 2025
bibtex
Jingtan Wang*, Xiaoqiang Lin, Rui Qiao, Pang Wei Koh, Chuang-sheng Foo, Bryan Kian Hsiang Low
International Conference on Machine Learning (ICML), 2025
bibtex
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
Rui Qiao, Zhaoxuan Wu, Jingtan Wang, Pang Wei Koh, Bryan Kian Hsiang Low
International Conference on Learning Representations (ICLR), 2025
arXiv / code / bibtex
Rui Qiao, Zhaoxuan Wu, Jingtan Wang, Pang Wei Koh, Bryan Kian Hsiang Low
International Conference on Learning Representations (ICLR), 2025
arXiv / code / bibtex
Source Attribution for Large Language Model-Generated Data
Xinyang Lu*, Jingtan Wang*, Zitong Zhao*, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low
Conference on Neural Information Processing Systems (NeurIPS), Workshop on Statistical Foundations of LLMs and Foundation Model (SFLLM), 2024
arXiv / bibtex
Xinyang Lu*, Jingtan Wang*, Zitong Zhao*, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low
Conference on Neural Information Processing Systems (NeurIPS), Workshop on Statistical Foundations of LLMs and Foundation Model (SFLLM), 2024
arXiv / bibtex
Position Paper: Data-Centric AI in the Age of Large Language Models
Xinyi Xu, Zhaoxuan Wu, Rui Qiao, Arun Verma, Yao Shu, Jingtan Wang, Xinyuan Niu, Zhenfeng He, Jiangwei Chen, Zijian Zhou, Gregory Kang Ruey Lau, Hieu Dao, Lucas Agussurja, Rachael Hwee Ling Sim, Xiaoqiang Lin, Wenyang Hu, Zhongxiang Dai, Pang Wei Koh, Bryan Kian Hsiang Low
Empirical Methods in Natural Language Processing Finding (EMNLP) Findings, 2024
arXiv / bibtex
Xinyi Xu, Zhaoxuan Wu, Rui Qiao, Arun Verma, Yao Shu, Jingtan Wang, Xinyuan Niu, Zhenfeng He, Jiangwei Chen, Zijian Zhou, Gregory Kang Ruey Lau, Hieu Dao, Lucas Agussurja, Rachael Hwee Ling Sim, Xiaoqiang Lin, Wenyang Hu, Zhongxiang Dai, Pang Wei Koh, Bryan Kian Hsiang Low
Empirical Methods in Natural Language Processing Finding (EMNLP) Findings, 2024
arXiv / bibtex
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
Jingtan Wang*, Xiaoqiang Lin*, Rui Qiao*, Chuang-sheng Foo, Bryan Kian Hsiang Low
International Conference on Machine Learning (ICML), 2024
arXiv / code / bibtex
Jingtan Wang*, Xiaoqiang Lin*, Rui Qiao*, Chuang-sheng Foo, Bryan Kian Hsiang Low
International Conference on Machine Learning (ICML), 2024
arXiv / code / bibtex
Awards and Honors
Research Achievement Award, NUS, School of Computing, 2024.Dean’s List of Year 2018 – 2019; Dean’s List of Year 2020 – 2021, NTU, School of Computer Science and Engineering.
Senior Middle 2 Scholarship for top 1 percent student of China covered full tuition for undergraduate study.