Baeseong Park - RankMe

28 papers A* 8A 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention. CoRR Jeongin Bae, Baeseong Park, Gunho Park, Minsub Kim, Joonhyung Lee, Junhee Yoo, Sunghyeon Woo, Jiwon Ryu, Se Jung Kwon, Dongsoo Lee
2026	J	`jnl`	ICaRus: Identical Cache Reuse for Efficient Multi Model Inference. CoRR 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
2026	J	`jnl`	PrefillShare: A Shared Prefill Module for KV Reuse in Multi-LLM Disaggregated Serving. CoRR Sunghyeon Woo, Hoseung Kim, Sunghwan Shim, Minjung Jo, Hyunjoon Jeong, Jeongtae Lee, Joonghoon Kim, Sungjae Lee, Baeseong Park, Se Jung Kwon, Dongsoo Lee
2026	J	`jnl`	SUN: Shared Use of Next-token Prediction for Efficient Multi-LLM Disaggregated Serving. CoRR Sunghyeon Woo, Ahreum Seo, Jaegwang Lee, Jaeeun Kil, Hanbae Seo, Joonghoon Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee
2025	J	`jnl`	CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs. CoRR Gunho Park, Jeongin Bae, Byeongwook Kim, Baeseong Park, Jiwon Ryu, Hoseung Kim, Se Jung Kwon, Dongsoo Lee
2025	A*	`conf`	FIGLUT: An Energy-Efficient Accelerator Design for FP-INT GEMM Using Look-Up Tables. HPCA Gunho Park, Hyeokjun Kwon, JiWoo Kim, Jeongin Bae, Baeseong Park, Dongsoo Lee, Youngjoo Lee
2025	J	`jnl`	FIGLUT: An Energy-Efficient Accelerator Design for FP-INT GEMM Using Look-Up Tables. CoRR Gunho Park, Hyeokjun Kwon, JiWoo Kim, Jeongin Bae, Baeseong Park, Dongsoo Lee, Youngjoo Lee
2024	A*	`conf`	DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation. NeurIPS Sunghyeon Woo, Baeseong Park, Byeongwook Kim, Minjung Jo, Se Jung Kwon, Dongsuk Jeon, Dongsoo Lee
2024	J	`jnl`	DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation. CoRR Sunghyeon Woo, Baeseong Park, Byeongwook Kim, Minjung Jo, Sejung Kwon, Dongsuk Jeon, Dongsoo Lee
2024	A*	`conf`	LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. ICLR Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
2023	—	`conf`	Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models. MLSys Younghoon Byun, Seungsik Moon, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Gunho Park, Eunji Yoo, Jung Gyu Min, Youngjoo Lee
2023	A*	`conf`	TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning. DAC Eunji Yoo, Gunho Park, Jung Gyu Min, Se Jung Kwon, Baeseong Park, Dongsoo Lee, Youngjoo Lee
2023	A*	`conf`	Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic. ICLR Yulhwa Kim, Jaeyong Jang, Jehun Lee, Jihoon Park, Jeonghoon Kim, Byeongwook Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Jae-Joon Kim
2022	—	`conf`	AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. EMNLP (Findings) Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee
2022	J	`jnl`	AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. CoRR Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee
2022	A*	`conf`	Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression. ICLR Baeseong Park, Se Jung Kwon, Daehwan Oh, Byeongwook Kim, Dongsoo Lee
2022	J	`jnl`	nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models. CoRR Gunho Park, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
2021	J	`jnl`	Modulating Regularization Frequency for Efficient Compression-Aware Model Training. CoRR Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Baeseong Park, Yongkweon Jeon
2021	J	`jnl`	Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization. CoRR Byeongwook Kim, Dongsoo Lee, Yeonju Ro, Yongkweon Jeon, Se Jung Kwon, Baeseong Park, Daehwan Oh
2021	J	`jnl`	Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity. CoRR Baeseong Park, Se Jung Kwon, Dongsoo Lee, Daehwan Oh, Byeongwook Kim, Yongkweon Jeon, Yeonju Ro
2020	J	`jnl`	BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs. CoRR Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee
2020	A	`conf`	BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs. SC Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee
2020	—	`conf`	Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. EMNLP (Findings) Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee
2020	J	`jnl`	Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. CoRR Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee
2020	A*	`conf`	FleXOR: Trainable Fractional Quantization. NeurIPS Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun
2020	J	`jnl`	FleXOR: Trainable Fractional Quantization. CoRR Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun
2020	A*	`conf`	Structured Compression by Weight Encryption for Unstructured Pruning and Quantization. CVPR Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei
2019	J	`jnl`	Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks. CoRR Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei