Minseo Jung — accepted AI-conference papers

2025

Radar4VoxMap: Accurate Odometry from Blurred Radar Observations

Jiwon Seok, Soyeong Kim, Jaeyoung Jo, Jaehwan Lee, Minseo Jung, Kichun Jo

ICRA 2025

Compared to conventional 3D radar, the 4D imaging radar provides additional height data and finer resolution measurements. Moreover, compared to LiDAR sensors, 4D imaging radar is more cost-effective and offers enhanced durability against challenging weather conditions. Despite these advantages, rad

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2025

Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs

Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung +1

EMNLP 2025

Masked diffusion models (MDMs) offer a promising non-autoregressive alternative for large language modeling. Standard decoding methods for MDMs, such as confidence-based sampling, select tokens independently based on individual token confidences at each diffusion step. However, we observe that this

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