This work presents an RS-specific formulation of the region selection paradigm, previously explored in natural-image MLLMs, and extends it to temporal change localization over multi-image sequences, and constructs a multi-task training and evaluation suite spanning localization, referring expression, visual grounding,...
J. Chung, Sungjune Park, Yeongyun Kim et al.· 0 citations
This work decomposes video into view-invariant and view-variant latents and recompose them under language supervision encouraging clean decomposition of the two streams, and proposes PRISM, that achieves state-of-the-art results on EgoExo4D, EgoExoLearn, AE2, even surpassing in-domain models under zero-shot setting.
Youngchae Chee, Ho-Su Lee, Sungjune Park et al.· 0 citations
K-EXAONE 2.0 improves over K-EXAONE and remains competitive with open-weight models, showing its largest gains in agentic coding and long-context understanding and its clearest strengths in long-context retrieval and safety.
Eunbi Choi, Kibong Choi, Sehyun Chun et al.· 0 citations
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