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13 Jul 2025
SERC
Institute for Infocomm Research
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
Jingtan Wang,
Xiaoqiang Lin,
Rui Qiao,
Pang Wei Koh,
Chuan-Sheng Foo,
Bryan Kian Hsiang Low
International Conference on Machine Learning
24 Apr 2025
SERC
Institute for Infocomm Research
Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
Zhiliang Chen,
Xinyuan Niu,
Chuan-Sheng Foo,
Bryan Kian Hsiang Low
International Conference on Learning Representations
10 Dec 2024
SERC
Institute for Infocomm Research
Data Distribution Valuation
Xinyi Xu,
Shuaiqi Wang,
Chuan-Sheng Foo,
Bryan Kian Hsiang Low,
Giulia Fanti
Conference on Neural Information Processing Systems
16 Nov 2024
SERC
Institute for Infocomm Research
Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs
Gregory Kang Ruey Lau,
Xinyuan Niu,
Hieu Dao,
Jiangwei Chen,
Chuan-Sheng Foo,
Bryan Kian Hsiang Low
Conference on Empirical Methods in Natural Language Processing
27 Jul 2024
SERC
Institute for Infocomm Research
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
Zhiliang Chen,
Chuan-Sheng Foo,
Bryan Kian Hsiang Low
International Conference on Machine Learning
11 May 2024
SERC
Institute for Infocomm Research
A Unified Framework for Bayesian Optimization under Contextual Uncertainty
Sebastian Shenghong Tay,
Chuan-Sheng Foo,
Daisuke Urano,
Richalynn Leong,
Bryan Kian Hsiang Low
International Conference on Learning Representations
10 Dec 2023
SERC
Institute for Infocomm Research
Model Shapley: Equitable Model Valuation with Black-box Access
Xinyi Xu,
Thanh Lam,
Chuan-Sheng Foo,
Bryan Kian Hsiang Low
Conference on Neural Information Processing Systems
10 Dec 2023
SERC
Institute for Infocomm Research
Bayesian Optimization with Cost-varying Variable Subsets
Sebastian Shenghong Tay,
Chuan Sheng Foo,
Daisuke Urano,
Richalynn Chiu Xian Leong,
Bryan Kian Hsiang Low
Conference on Neural Information Processing Systems
20 Aug 2023
SERC
Institute for Infocomm Research
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities
Sebastian Shenghong Tay,
Quoc Phong Nguyen,
Chuan Sheng Foo,
Bryan Kian Hsiang Low
Proceedings of the 26th International Conference on Artificial Intelligence and Statistics
20 Aug 2023
SERC
Institute for Infocomm Research
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery
Xinyi Xu,
Zhaoxuan Wu,
Arun Verma,
Chuan Sheng Foo,
Bryan Kian Hsiang Low
Proceedings of the 26th International Conference on Artificial Intelligence and Statistics
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