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