Byeongwook Kim

Researcher, NAVER CLOUD

Joined

May 2018

Names

Byeongwook Kim (Preferred)

Emails

****@gmail.com (Confirmed)

****@samsung.com (Confirmed)

****@navercorp.com (Confirmed)

Personal Links

Google Scholar

DBLP

ACL Anthology

Career & Education History

Researcher

NAVER CLOUD (navercorp.com)

2021 – Present

Software Engineer

Samsung Research (research.samsung.com)

2017 – 2021

Undergrad student

Kumoh National University of Technology (kumoh.ac.kr)

2011 – 2017

Advisors, Relations & Conflicts

No relations added

Expertise

llm post-training

model sculpting

2025 – Present

deep learning

model compression

2017 – 2025

H/W co-compiler

2017 – 2017

Publications

AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs
Gunho Park, Jeongin Bae, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee
- ICLR 2026 Poster
- Readers: Everyone
CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
Gunho Park, Jeongin Bae, Byeongwook Kim, Baeseong park, Jiwon Ryu, Hoseung Kim, Se Jung Kwon, Dongsoo Lee
- NeurIPS 2025 poster
- Readers: Everyone
Faster Inference of LLMs using FP8 on the Intel Gaudi
Joonhyung Lee, Shmulik Markovich-Golan, Daniel Ohayon, Yair Hanani, Gunho Park, Byeongwook Kim, Asaf Karnieli, Uri Livne, Haihao Shen, Tai Huang, Se Jung Kwon, Dongsoo Lee
- CoRR 2025
- Readers: Everyone
An Investigation of FP8 Across Accelerators for LLM Inference
Jiwoo Kim, Joonhyung Lee, Gunho Park, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee, Youngjoo Lee
- CoRR 2025
- Readers: Everyone
FlexBCQ: Flexible Binary-coding Quantization for Large Language Models
Seungcheol Park, Byeongwook Kim, Jeongin Bae, Beomseok Kwon, Se Jung Kwon, U Kang, Dongsoo Lee
- Submitted to ICLR 2025
- Readers: Everyone
Don’t Discard, but Keep It Small: Context-Preserving KV Cache Compression with Importance-Aware Adaptive Precision
June Yong Yang, Byeongwook Kim, Jeongin Bae, Gunho Park, Beomseok Kwon, Eunho Yang, Se Jung Kwon, Dongsoo Lee
- Submitted to ICLR 2025
- Readers: Everyone
To FP8 and Back Again: Quantifying Reduced Precision Effects on LLM Training Stability
Joonhyung Lee, Jeongin Bae, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee
- Submitted to ICLR 2025
- Readers: Everyone
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
Sunghyeon Woo, Baeseong park, Byeongwook Kim, Minjung Jo, Se Jung Kwon, Dongsuk Jeon, Dongsoo Lee
- NeurIPS 2024 poster
- Readers: Everyone
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
Sunghyeon Woo, Baeseong Park, Byeongwook Kim, Minjung Jo, Se Jung Kwon, Dongsuk Jeon, Dongsoo Lee
- NeurIPS 2024
- Readers: Everyone
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
- ICLR 2024
- Readers: Everyone

View all 41 publications

Co-Authors

View all 53 co-authors