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ORCIDVincent-Daniel Yun
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2020 – today
- 2026
[i8]Minkyu Kim, Vincent-Daniel Yun, Youngrae Kim, Youngjin Heo, Suin Cho, Seong-hun Kim, Woosang Lim, Gaeul Kwon:
Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning. CoRR abs/2604.24938 (2026)- [i7]Haejoon Lee, Vincent-Daniel Yun, Hyeonho Oh, Dimitra Panagou, Sai Praneeth Karimireddy:
Robust Multi-Agent LLMs under Byzantine Faults. CoRR abs/2605.09076 (2026) - [i6]Vincent-Daniel Yun, Junhyuk Jo, Sai Praneeth Karimireddy, Sunwoo Lee:
Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs. CoRR abs/2605.15491 (2026) - [i5]Vincent-Daniel Yun, Youngrae Kim, Woosang Lim, Youngjin Heo, Minkyu Kim, Sunwoo Lee:
Locality-Aware Redundancy Pruning for LLM Depth Compression. CoRR abs/2605.27786 (2026) - 2025
- [i4]Vincent-Daniel Yun:
SGD Convergence under Stepsize Shrinkage in Low-Precision Training. CoRR abs/2508.07142 (2025) - [i3]Vincent-Daniel Yun:
Insights from Gradient Dynamics: Gradient Autoscaled Normalization. CoRR abs/2509.03677 (2025) - [i2]Soo Yong Kim, Suin Cho, Vincent-Daniel Yun, Gyeongyeon Hwang:
MedCLM: Learning to Localize and Reason via a CoT-Curriculum in Medical Vision-Language Models. CoRR abs/2510.04477 (2025) - [i1]Vincent-Daniel Yun, Junhyuk Jo, Sunwoo Lee:
Weight Variance Amplifier Improves Accuracy in High-Sparsity One-Shot Pruning. CoRR abs/2511.14282 (2025)
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