Rui Qiao

17 papers A* 6Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions.
ICLR
Rui Qiao, Zhaoxuan Wu, Jingtan Wang, Pang Wei Koh, Bryan Kian Hsiang Low
2025 J jnl
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions.
CoRR
Rui Qiao, Zhaoxuan Wu, Jingtan Wang, Pang Wei Koh, Bryan Kian Hsiang Low
2025 A* conf
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric.
ICML
Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Pang Wei Koh, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2025 J jnl
ReasonIR: Training Retrievers for Reasoning Tasks.
CoRR
Rulin Shao, Rui Qiao, Varsha Kishore, Niklas Muennighoff, Xi Victoria Lin, Daniela Rus, Bryan Kian Hsiang Low, Sewon Min, Wen-tau Yih, Pang Wei Koh, Luke Zettlemoyer
2025 — conf
Uncovering Scaling Laws for Large Language Models via Inverse Problems.
EMNLP (Findings)
Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin, Zhiliang Chen, Rachael Hwee Ling Sim, Rui Qiao, Jingtan Wang, Nhung Bui, Xinyuan Niu, Wenyang Hu, Gregory Kang Ruey Lau, Zi-Yu Khoo, Zitong Zhao, Xinyi Xu, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
2025 J jnl
Uncovering Scaling Laws for Large Language Models via Inverse Problems.
CoRR
Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin, Zhiliang Chen, Rachael Hwee Ling Sim, Rui Qiao, Jingtan Wang, Nhung Bui, Xinyuan Niu, Wenyang Hu, Gregory Kang Ruey Lau, Zi-Yu Khoo, Zitong Zhao, Xinyi Xu, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
2024 J jnl
Data-Centric AI in the Age of Large Language Models.
CoRR
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
2024 A* conf
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions.
ICML
Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2024 J jnl
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions.
CoRR
Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2024 — conf
Position Paper: Data-Centric AI in the Age of Large Language Models.
EMNLP (Findings)
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
2024 A* conf
Understanding Domain Generalization: A Noise Robustness Perspective.
ICLR
Rui Qiao, Bryan Kian Hsiang Low
2024 J jnl
Understanding Domain Generalization: A Noise Robustness Perspective.
CoRR
Rui Qiao, Bryan Kian Hsiang Low
2023 A* conf
Collaborative Causal Inference with Fair Incentives.
ICML
Rui Qiao, Xinyi Xu, Bryan Kian Hsiang Low
2021 A* conf
Interventional Video Grounding With Dual Contrastive Learning.
CVPR
Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu
2021 J jnl
Interventional Video Grounding with Dual Contrastive Learning.
CoRR
Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu
2021 — conf
Uncovering Main Causalities for Long-tailed Information Extraction.
EMNLP (1)
Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu
2021 J jnl
Uncovering Main Causalities for Long-tailed Information Extraction.
CoRR
Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu