24 citations · 48 across the 37 of their papers we have counts for
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eess.AS2026
Decoding Strategies for Diffusion-Based ASR: A Systematic Evaluation of Confidence-Based Thresholding
Jeong Hun Yeo, Minsu Kim, Hyeongseop Rha +1
While LLM-based Automatic Speech Recognition (ASR) achieves high accuracy, its speed is limited by sequential autoregressive decoding. Diffusion Language Models (DLMs) offer a para…
cs.CV2026
Robust Grounding with MLLMs Against Occlusion and Small Objects via Language-Guided Semantic Cues
Beomchan Park, Seongho Kim, Hyunjun Kim +2
While Multimodal Large Language Models (MLLMs) have enhanced grounding capabilities in general scenes, their robustness in crowded scenes remains underexplored. Crowded scenes enta…