Martin Kuo
3 papers · 2025–2025 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Research topics
Keywords
large language model
(2)
vision-language model
(1)
token pruning
(1)
privacy protection
(1)
hardware acceleration
(1)
model utility
(1)
data contamination
(1)
statistical detection
(1)
personally identifiable information
(1)
neuron pruning
(1)
flops reduction
(1)
pretraining data detection
(1)
copyright violation
(1)
memory forgetting
(1)
maximum likelihood
(1)
co-adaptive sparse inference
(1)
Papers
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
ICML 2025
Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models
ICLR 2025
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
ICLR 2025