Jung Hyun Lee
6 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
Venues
Top co-authors
Research topics
Keywords
model compression
(3)
large language model
(2)
post-training quantization
(2)
conditional generation
(1)
neural network optimization
(1)
formal verification
(1)
low-rank approximation
(1)
label noise
(1)
parameter sharing
(1)
generative model
(1)
tree search
(1)
parameter-efficient fine-tuning
(1)
straight-through estimator
(1)
weight quantization
(1)
value model
(1)
diffusion probabilistic model
(1)
quantization error
(1)
language model compression
(1)
network quantization
(1)
token supervision
(1)
Papers
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
NAACL 2025
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
ICLR 2025
Label-Noise Robust Diffusion Models
ICLR 2024
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
ICML 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
NeurIPS 2023
Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss
ICCV 2021