Byeongwook Kim
10 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Academic Marathon (5) π Cross-Pollinator (12) πΊοΈ Taxonomy Completionist (20) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(5)
π€
Dynamic Duo
(10)
π±
Topic Pioneer
π
Century Club
(10)
Conferences
ICLR (4)
EMNLP (2)
NIPS (2)
ACL (1)
CVPR (1)
Top co-authors
Keywords
model compression
(5)
neural network optimization
(3)
large language model
(3)
weight quantization
(3)
binary quantization
(2)
parameter-efficient fine-tuning
(2)
training efficiency
(1)
parameter efficient fine-tuning
(1)
edge device
(1)
activation memory
(1)
sparse neural network
(1)
backward propagation
(1)
low-bit quantization
(1)
on-device inference
(1)
mixed precision
(1)
binary neural network
(1)
unstructured pruning
(1)
binary coding
(1)
mixed precision quantization
(1)
weight encryption
(1)
Papers
Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
ACL 2025
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
NIPS 2024
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
ICLR 2024
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
ICLR 2024
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
ICLR 2023
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
EMNLP 2022
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
ICLR 2022
FleXOR: Trainable Fractional Quantization
NIPS 2020
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation
EMNLP 2020
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
CVPR 2020