Baeseong Park

nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models

Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, 2022, ArXiv.

AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models

Kang Min Yoo, Se Jung Kwon, Jin-Hwa Kim, 2022, EMNLP.

nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models

Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, 2022, ArXiv.

LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models

Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, 2022, 2206.09557.

Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation

Yoonjung Choi, Dongsoo Lee, Se Jung Kwon, 2020, FINDINGS.

BiQGEMM: Matrix Multiplication with Lookup Table for Binary-Coding-Based Quantized DNNs pdf

Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, 2020, SC20: International Conference for High Performance Computing, Networking, Storage and Analysis.

FleXOR: Trainable Fractional Quantization pdf

Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, 2020, NeurIPS.

Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization pdf

Byeongwook Kim, Yongkweon Jeon, Baeseong Park, 2021, ArXiv.

Structured Compression by Weight Encryption for Unstructured Pruning and Quantization

Gu-Yeon Wei, Dongsoo Lee, Se Jung Kwon, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

W INNING B OTH THE A CCURACY OF F LOATING P OINT A CTIVATION AND THE S IMPLICITY OF I NTEGER A RITHMETIC

Se Jung Kwon, Yulhwa Kim, Jae-Joon Kim, 2023 .