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Conference and Workshop Papers
- 2024
[c5]Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers. ICML 2024- [c4]Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu, See-Kiong Ng, Bryan Kian Hsiang Low:
Distributionally Robust Data Valuation. ICML 2024 - [c3]Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, Bryan Kian Hsiang Low:
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions. ICML 2024 - 2023
- [c2]Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low:
Fair yet Asymptotically Equal Collaborative Learning. ICML 2023: 21223-21259 - 2020
- [c1]Yuqiao Yang, Xiaoqiang Lin, Geng Lin, Zengfeng Huang
, Changjian Jiang, Zhongyu Wei:
Joint Representation Learning of Legislator and Legislation for Roll Call Prediction. IJCAI 2020: 1424-1430
Informal and Other Publications
- 2024
- [i9]Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low:
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning. CoRR abs/2405.14899 (2024) - [i8]Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. CoRR abs/2405.16122 (2024) - [i7]Xiaoqiang Lin, Zhongxiang Dai, Arun Verma, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Prompt Optimization with Human Feedback. CoRR abs/2405.17346 (2024) - [i6]Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, Bryan Kian Hsiang Low:
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions. CoRR abs/2406.04606 (2024) - [i5]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:
Data-Centric AI in the Age of Large Language Models. CoRR abs/2406.14473 (2024) - [i4]Arun Verma, Zhongxiang Dai, Xiaoqiang Lin, Patrick Jaillet, Bryan Kian Hsiang Low:
Neural Dueling Bandits. CoRR abs/2407.17112 (2024) - 2023
- [i3]Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low:
Fair yet Asymptotically Equal Collaborative Learning. CoRR abs/2306.05764 (2023) - [i2]Yao Shu, Xiaoqiang Lin, Zhongxiang Dai, Bryan Kian Hsiang Low:
Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients. CoRR abs/2308.04077 (2023) - [i1]Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers. CoRR abs/2310.02905 (2023)
Coauthor Index
aka: Bryan Kian Hsiang Low
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