Jung Hyun Lee
6 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(5)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(14)
📈
Trend Setter
Conferences
ICLR (2)
ICCV (1)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
model compression
(3)
post-training quantization
(2)
in-context learning
(1)
neural network optimization
(1)
low-rank approximation
(1)
parameter sharing
(1)
parameter-efficient fine-tuning
(1)
straight-through estimator
(1)
weight quantization
(1)
quantization error
(1)
language model compression
(1)
large language model
(1)
network quantization
(1)
weight rounding
(1)
heterogeneous quantization
(1)
optimizer state
(1)
Papers
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
ICLR 2025
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
NAACL 2025
Label-Noise Robust Diffusion Models
ICLR 2024
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
NIPS 2023
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
ICML 2023
Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss
ICCV 2021