Yulhwa Kim
5 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(12)
Venues
Top co-authors
Research topics
Keywords
large language model
(2)
post-training quantization
(2)
model compression
(2)
efficient computing
(1)
energy efficiency
(1)
diffusion model
(1)
deep neural network
(1)
memory efficiency
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
weight quantization
(1)
model binarization
(1)
transformer block
(1)
matrix multiplication
(1)
inference speedup
(1)
quantization-aware training
(1)
integer arithmetic
(1)
floating point
(1)
low-bit activation
(1)
accuracy
(1)
Papers
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
ACL 2025
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
NeurIPS 2024
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
ICML 2024
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis
NeurIPS 2023
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
ICLR 2023