Interventional Video Grounding With Dual Contrastive Learning. - Guoshun Nan; Rui Qiao 006; Yao Xiao; Jun Liu 036; Sicong Leng; Hao Zhang 048; Wei Lu 011 (CVPR, 2021)

Uncovering Main Causalities for Long-tailed Information Extraction. - Guoshun Nan; Jiaqi Zeng; Rui Qiao 006; Zhijiang Guo; Wei Lu 011 (EMNLP (1), 2021)

Collaborative Causal Inference with Fair Incentives. - Rui Qiao 006; Xinyi Xu; Bryan Kian Hsiang Low (ICML, 2023)

Position Paper: Data-Centric AI in the Age of Large Language Models. - Xinyi Xu; Zhaoxuan Wu; Rui Qiao 006; Arun Verma; Yao Shu; Jingtan Wang 001; Xinyuan Niu 001; Zhenfeng He; Jiangwei Chen 001; Zijian Zhou; Gregory Kang Ruey Lau; Hieu Dao; et al. (EMNLP (Findings), 2024)

Understanding Domain Generalization: A Noise Robustness Perspective. - Rui Qiao 006; Bryan Kian Hsiang Low (ICLR, 2024)

Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions. - Jingtan Wang 001; Xiaoqiang Lin; Rui Qiao 006; Chuan-Sheng Foo; Bryan Kian Hsiang Low (ICML, 2024)

Data-Centric AI in the Age of Large Language Models. - Xinyi Xu; Zhaoxuan Wu; Rui Qiao 006; Arun Verma; Yao Shu; Jingtan Wang 001; Xinyuan Niu 001; Zhenfeng He; Jiangwei Chen 001; Zijian Zhou; Gregory Kang Ruey Lau; Hieu Dao; et al. (CoRR, 2024)

Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions. - Rui Qiao 006; Zhaoxuan Wu; Jingtan Wang 001; Pang Wei Koh; Bryan Kian Hsiang Low (ICLR, 2025)

ReasonIR: Training Retrievers for Reasoning Tasks. - Rulin Shao; Rui Qiao 006; Varsha Kishore; Niklas Muennighoff; Xi Victoria Lin; Daniela Rus; Bryan Kian Hsiang Low; Sewon Min; Wen-tau Yih; Pang Wei Koh; Luke Zettlemoyer (CoRR, 2025)