Sunghyeon Woo

According to our database, Sunghyeon Woo authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

CoRR, March, 2026

Training-free Dropout Sampling for Semantic Token Acceptance in Speculative Decoding.

Jeongtae Lee, Minjung Jo, Hyunjoon Jeong, Gunho Park, Sunghyeon Woo, Joonghoon Kim, Se Jung Kwon, Dongsoo Lee

CoRR, March, 2026

SUN: Shared Use of Next-token Prediction for Efficient Multi-LLM Disaggregated Serving.

Sunghyeon Woo, Ahreum Seo, Jaegwang Lee, Jaeeun Kil, Hanbae Seo, Joonghoon Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee

CoRR, March, 2026

Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention.

Jeongin Bae, Baeseong Park, Gunho Park, Minsub Kim, Joonhyung Lee, Junhee Yoo, Sunghyeon Woo, Jiwon Ryu, Se Jung Kwon, Dongsoo Lee

CoRR, February, 2026

PrefillShare: A Shared Prefill Module for KV Reuse in Multi-LLM Disaggregated Serving.

Sunghyeon Woo, Hoseung Kim, Sunghwan Shim, Minjung Jo, Hyunjoon Jeong, Jeongtae Lee, Joonghoon Kim, Sungjae Lee, Baeseong Park, Se Jung Kwon, Dongsoo Lee

CoRR, February, 2026

2025

SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification.

Kanghoon Yoon, Minsub Kim, Sungjae Lee, Joonhyung Lee, Sunghyeon Woo, Yeonjun In, Se Jung Kwon, Chanyoung Park, Dongsoo Lee

CoRR, October, 2025

PaCA: Partial Connection Adaptation for Efficient Fine-Tuning.

Sunghyeon Woo, Sol Namkung, Sunwoo Lee, Inho Jeong, Beomseok Kim, Dongsuk Jeon

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

Sunghyeon Woo, Baeseong Park, Byeongwook Kim, Minjung Jo, Sejung Kwon, Dongsuk Jeon, Dongsoo Lee

CoRR, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models.

Sunghyeon Woo, Sunwoo Lee, Dongsuk Jeon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning with Auxiliary Activation for Memory-Efficient Training.

Sunghyeon Woo, Dongsuk Jeon

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection.

Sunghyeon Woo, Jeongwoo Park, Jiwoo Hong, Dongsuk Jeon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021