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Minhyuk Sung

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#machine learning Preprint Oct 2026

MUNITE: Unified Multimodal Latent Inference for Any-to-Any Multimodal Generation

We introduce MUNITE, a latent-variable framework for flexible any-to-any multimodal generation that treats encoding and latent generation as the same inference problem under different amounts of observed evidence. Given any subset of modalities, MUNITE models the conditional distribution over the latent representation...

Kyeongmin Yeo, Minhyuk Sung · 0 citations
#small language model Preprint Aug 2026

Retrieval Heads Meet Vision: Uncovering How VLMs Locate and Extract Visual Information

This work introduces Visual Retrieval Heads (VRHs), a small subset of attention heads that are causally responsible for grounding text descriptions to image regions, and shows that scoring attention from output prediction tokens with a sum over the ground-truth referent region most reliably identifies causal heads.

Chanho Park, Daehyeon Choi, Jihyun Lee et al. · 1 citation · ⚡1

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