Vincent-Daniel Yun

According to our database, Vincent-Daniel Yun authored at least 8 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Locality-Aware Redundancy Pruning for LLM Depth Compression.

Vincent-Daniel Yun, Youngrae Kim, Woosang Lim, Youngjin Heo, Minkyu Kim, Sunwoo Lee

CoRR, May, 2026

Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs.

Vincent-Daniel Yun, Junhyuk Jo, Sai Praneeth Karimireddy, Sunwoo Lee

CoRR, May, 2026

Robust Multi-Agent LLMs under Byzantine Faults.

Haejoon Lee, Vincent-Daniel Yun, Hyeonho Oh, Dimitra Panagou, Sai Praneeth Karimireddy

CoRR, May, 2026

Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning.

Minkyu Kim, Vincent-Daniel Yun, Youngrae Kim, Youngjin Heo, Suin Cho, Seong-hun Kim, Woosang Lim, Gaeul Kwon

CoRR, April, 2026

2025

Weight Variance Amplifier Improves Accuracy in High-Sparsity One-Shot Pruning.

Vincent-Daniel Yun, Junhyuk Jo, Sunwoo Lee

CoRR, November, 2025

MedCLM: Learning to Localize and Reason via a CoT-Curriculum in Medical Vision-Language Models.

Soo Yong Kim, Suin Cho, Vincent-Daniel Yun, Gyeongyeon Hwang

CoRR, October, 2025

Insights from Gradient Dynamics: Gradient Autoscaled Normalization.

Vincent-Daniel Yun

CoRR, September, 2025

SGD Convergence under Stepsize Shrinkage in Low-Precision Training.

Vincent-Daniel Yun

CoRR, August, 2025