Hee Suk Yoon

TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation

Diffusion Negative Preference Optimization Made Simple

PACR: Progressively Ascending Confidence Reward for LLM Reasoning

Gated LoRA: Dual-Purpose Projections for Parameter-Efficient Mini-Expert Fine-Tuning

A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models

Mitigating Object Hallucination in Large Vision Language Model with Human-Free Reinforcement Learning

SQuBa: Speech Mamba Language Model with Querying-Attention for Efficient Summarization

ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization