Jeongin Bae

Researcher, NAVER

Joined

October 2022

Names

Jeongin Bae (Preferred)

Emails

****@gmail.com (Confirmed)

,

****@navercorp.com (Confirmed)

Personal Links

Career & Education History

Researcher

NAVER (navercorp.com)

2023 – Present

Undergrad student

Korea Advanced Institute of Science & Technology (kaist.edu)

2019 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

model compression

2023 – Present

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
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

Co-Authors