Gregory Kang Ruey Lau

18 papers A* 5Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Chicken and Egg Dilemma: Co-optimizing Data and Model Configurations for LLMs. CoRR Zhiliang Chen, Alfred Wei Lun Leong, Shao Yong Ong, Apivich Hemachandra, Gregory Kang Ruey Lau, Chuan-Sheng Foo, Zhengyuan Liu, Nancy F. Chen, Bryan Kian Hsiang Low
2026	J	`jnl`	Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume. CoRR Gregory Kang Ruey Lau, Hieu Dao, Nicole Kan Hui Lin, Bryan Kian Hsiang Low
2025	J	`jnl`	DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks. CoRR Zhiliang Chen, Gregory Kang Ruey Lau, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2025	A*	`conf`	Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks. EMNLP Wenyang Hu, Gregory Kang Ruey Lau, Diwen Liu, Jizhuo Chen, See-Kiong Ng, Bryan Kian Hsiang Low
2025	A*	`conf`	PIED: Physics-Informed Experimental Design for Inverse Problems. ICLR Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low
2025	J	`jnl`	PIED: Physics-Informed Experimental Design for Inverse Problems. CoRR Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low
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
2025	J	`jnl`	WaterDrum: Watermarking for Data-centric Unlearning Metric. CoRR Xinyang Lu, Xinyuan Niu, Gregory Kang Ruey Lau, Bui Thi Cam Nhung, Rachael Hwee Ling Sim, Fanyu Wen, Chuan-Sheng Foo, 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	J	`jnl`	Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks. CoRR Gregory Kang Ruey Lau, Wenyang Hu, Diwen Liu, Jizhuo Chen, See-Kiong Ng, Bryan Kian Hsiang Low
2024	A*	`conf`	PINNACLE: PINN Adaptive ColLocation and Experimental points selection. ICLR Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
2024	J	`jnl`	PINNACLE: PINN Adaptive ColLocation and Experimental points selection. CoRR Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, 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	J	`jnl`	Waterfall: Framework for Robust and Scalable Text Watermarking. CoRR Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2024	A*	`conf`	Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs. EMNLP Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2023	A*	`conf`	Quantum Bayesian Optimization. NeurIPS Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
2023	J	`jnl`	Quantum Bayesian Optimization. CoRR Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet