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Jeongin Bae
Observed name:
Bae, Jeongin
Institution:
NAVER Cloud (South Korea)
Observed institutions:
Seoul National University,
Korea Advanced Institute of Science and Technology,
NAVER Cloud (South Korea),
Naver (South Korea)
OpenAlex ID:
A5087228701
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
2022
·
Se Jung Kwon
, Jeonghoon Kim
, et al.
·
13
PDF
HyperCLOVA X Technical Report
2024
·
Yoo, Kang Min
, Han, Jaegeun
, et al.
·
arXiv (Cornell University)
·
8
PDF
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization
2024
·
Yang, June Yong
, Kim, Byeongwook
, et al.
·
arXiv (Cornell University)
·
3
PDF
Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
2025
·
Seungcheol Park
, Jeongin Bae
, et al.
·
Annual Meeting of the Association for Computational Linguistics (ACL)
·
1
PDF
To FP8 and Back Again: Quantifying Reduced Precision Effects on LLM Training Stability
2024
·
Lee, Joonhyung
, Bae, Jeongin
, et al.
·
arXiv (Cornell University)
·
1
PDF
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
2022
·
Kwon, Se Jung
, Kim, Jeonghoon
, et al.
·
arXiv (Cornell University)
·
1
PDF
Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention
2026
·
Bae, Jeongin
, Park, Baeseong
, et al.
·
arXiv (Cornell University)
PDF
CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
2025
·
Park, Gunho
, Bae, Jeongin
, et al.
·
arXiv (Cornell University)
CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
2025
·
Park, Gunho
, Bae, Jeongin
, et al.
·
arXiv (Cornell University)
PDF
AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs
2025
·
Park, Gunho
, Bae, Jeongin
, et al.
·
arXiv (Cornell University)
PDF
Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
2025
·
Park, Seungcheol
, Bae, Jeongin
, et al.
·
arXiv (Cornell University)
PDF
CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
2025
·
Gunho Park
, Jeongin Bae
, et al.
·
neural information processing systems
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Works count:
15
Citation count:
27
H-index:
3
I10-index:
1
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