Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Permalink
Rui Qiao, Zhaoxuan Wu, Jingtan Wang, Pang Wei Koh, Bryan Kian Hsiang Low
In ICLR, 2025
Publications
(*: Equal Contribution)
Position Paper: Data-Centric AI in the Age of Large Language Models Permalink
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
In EMNLP (Findings), 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions Permalink
Jingtan Wang*, Xiaoqiang Lin*, Rui Qiao*, Chuan-Sheng Foo, Bryan Kian Hsiang Low
In ICML, 2024
Cross-Domain Feature Augmentation for Domain Generalization Permalink
Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong Li Lee, Wynne Hsu
In IJCAI, 2024
Understanding Domain Generalization: A Noise Robustness Perspective Permalink
Rui Qiao, Bryan Kian Hsiang Low
In ICLR, 2024
Collaborative Causal Inference with Fair Incentives Permalink
Rui Qiao, Xinyi Xu, Bryan Kian Hsiang Low
In ICML, 2023
Uncovering Main Causalities for Long-tailed Information Extraction Permalink
Guoshun Nan*, Jiaqi Zeng*, Rui Qiao*, Zhijiang Guo, Wei Lu
In EMNLP, 2021
Interventional Video Grounding with Dual Contrastive Learning Permalink
Guoshun Nan*, Rui Qiao*, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu
In CVPR, 2021