Yulhwa Kim
5 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(4)
🐝
Cross-Pollinator
(11)
🌈
Renaissance Researcher
(5)
🧭
Keyword Pioneer
Conferences
NIPS (2)
ACL (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
post-training quantization
(2)
large language model
(2)
model compression
(2)
diffusion model
(1)
memory efficiency
(1)
low-rank adaptation
(1)
parameter efficient fine-tuning
(1)
weight quantization
(1)
model binarization
(1)
quantization-aware training
(1)
quantization aware training
(1)
low-bit activation
(1)
image synthesis
(1)
efficient computing
(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
NIPS 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
NIPS 2023
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
ICLR 2023