Sunghyeon Woo - RankMe

13 papers A* 5Journal 8

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
2026	J	`jnl`	Training-free Dropout Sampling for Semantic Token Acceptance in Speculative Decoding. CoRR Jeongtae Lee, Minjung Jo, Hyunjoon Jeong, Gunho Park, Sunghyeon Woo, Joonghoon Kim, Se Jung Kwon, Dongsoo Lee
2025	A*	`conf`	PaCA: Partial Connection Adaptation for Efficient Fine-Tuning. ICLR Sunghyeon Woo, Sol Namkung, Sunwoo Lee, Inho Jeong, Beomseok Kim, Dongsuk Jeon
2025	J	`jnl`	PaCA: Partial Connection Adaptation for Efficient Fine-Tuning. CoRR Sunghyeon Woo, Sol Namkung, Sunwoo Lee, Inho Jeong, Beomseok Kim, Dongsuk Jeon
2025	J	`jnl`	SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification. CoRR Kanghoon Yoon, Minsub Kim, Sungjae Lee, Joonhyung Lee, Sunghyeon Woo, Yeonjun In, Se Jung Kwon, Chanyoung Park, Dongsoo Lee
2024	A*	`conf`	ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models. ICLR Sunghyeon Woo, Sunwoo Lee, Dongsuk Jeon
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
2023	A*	`conf`	Learning with Auxiliary Activation for Memory-Efficient Training. ICLR Sunghyeon Woo, Dongsuk Jeon
2021	A*	`conf`	Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection. NeurIPS Sunghyeon Woo, Jeongwoo Park, Jiwoo Hong, Dongsuk Jeon