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Junmo Kim

ICLR 2026×3CVPR 2026×2AAAI 2026ACL 2026多模态强化学习与后训练效率与系统理论与学习动力学对齐与偏好
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0 一作 · 7 篇 · ICLR 2026 / CVPR 2026 / AAAI 2026 / ACL 2026

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2026 顶会论文

7
作者位次 #3/3ICLR 2026Poster· Computer Vision / Image and Video Generation

SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation

Youngwoo Shin · jiwan hur · Junmo Kim

多模态OpenReview
作者位次 #4/4ACL 2026Poster· Natural Language Processing

Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens

Seunghee Koh · Sunghyun Baek · Youngdong Kim · Junmo Kim

摘要

Unlearning in large language models (LLMs) has emerged as a promising safeguard against adversarial behaviors. When the forgetting loss is applied uniformly without considering token-level semantic importance, model utility can be unnecessarily degraded. Recent studies have explored token-wise lo...

安全多语言与语言学OpenReview 项目页
作者位次 #4/4AAAI 2026Poster· Artificial Intelligence

Tailored ViT Slimming: Budget-Aware Multi-Dimensional Sparsity Regularization for Vision Transformers Pruning (Student Abstract)

Suwoong Lee · Seungjae Lee · Yunho Jeon · Junmo Kim

效率与系统多模态OpenReview

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