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cs.CL2025
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs
Daehoon Gwak, Minseo Jung, Junwoo Park +4
Masked diffusion models (MDMs) offer a promising non-autoregressive alternative for large language modeling. Standard decoding methods for MDMs, such as confidence-based sampling,…
eess.IV2025★ 1 cited
AMRG: Extend Vision Language Models for Automatic Mammography Report Generation
Nak-Jun Sung, Donghyun Lee, Bo Hwa Choi +1
Mammography report generation is a critical yet underexplored task in medical AI, characterized by challenges such as multiview image reasoning, high-resolution visual cues, and un…