Gregory Kang Ruey Lau
7 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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Taxonomy Completionist
(20)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Core AI
(6)
Optimization & Theory
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Application Areas
(2)
Models
(2)
Mathematics & Optimization
(1)
Core Methods
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization
(1)
Resources & Methods
(1)
Keywords
large language model
(4)
physics-informed neural network
(2)
inverse problem
(2)
knowledge transfer
(1)
in-context learning
(1)
prompt engineering
(1)
quantum computing
(1)
intellectual property
(1)
adaptive sampling
(1)
gaussian process
(1)
experimental design
(1)
bayesian optimization
(1)
regret bound
(1)
partial differential equation
(1)
quantum algorithm
(1)
text watermarking
(1)
scaling law
(1)
model ensemble
(1)
kernelized bandit
(1)
collocation point
(1)
Papers
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks
EMNLP 2025
PIED: Physics-Informed Experimental Design for Inverse Problems
ICLR 2025
Uncovering Scaling Laws for Large Language Models via Inverse Problems
EMNLP 2025
PINNACLE: PINN Adaptive ColLocation and Experimental points selection
ICLR 2024
Position Paper: Data-Centric AI in the Age of Large Language Models
EMNLP 2024
Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs
EMNLP 2024
Quantum Bayesian Optimization
NeurIPS 2023