Baeseong park

Software Engineer, NAVER Clova

Joined

November 2019

Names

Baeseong park (Preferred)

Bae Seong Park

Emails

****@gmail.com (Confirmed)

****@navercorp.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Software Engineer

NAVER Clova (navercorp.com)

2021 – Present

Software Engineer

Samsung Research (research.samsung.com)

2018 – 2021

Undergrad student

Chungbuk National University (chungbuk.ac.kr)

2010 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference
Sunghyeon Woo, Jaeeun Kil, Hoseung Kim, Minsub Kim, Joonghoon Kim, Ahreum Seo, Sungjae Lee, Minjung Jo, Jiwon Ryu, Baeseong park, 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
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
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 poster
- Readers: Everyone
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
Yulhwa Kim, Jaeyong Jang, Jehun Lee, Jihoon Park, Jeonghoon Kim, Byeongwook Kim, Baeseong park, Se Jung Kwon, Dongsoo Lee, jae-joon kim
- Published: 01 Feb 2023, Last Modified: 28 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
Bae Seong Park, Se Jung Kwon, Daehwan Oh, Byeongwook Kim, Dongsoo Lee
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
Post-Training Weighted Quantization of Neural Networks for Language Models
Se Jung Kwon, Dongsoo Lee, Yongkweon Jeon, Byeongwook Kim, Bae Seong Park, Yeonju Ro
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone

Co-Authors

View all 26 co-authors

Baeseong park

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference

CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs

DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation

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

Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic

Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression

Post-Training Weighted Quantization of Neural Networks for Language Models

Co-Authors