We introduce Monet, a training framework that enables multimodal large language models (MLLMs) to reason directly within the latent visual space by generating continuous embeddings that function as ...
Abstract: When determining navigation actions, it is important to design effective visual and semantic representations of the observation scenes and robust navigation strategies. The paper proposes a ...
Abstract: This paper introduces BioVL-QR, a biochemical vision- and-language dataset comprising 23 egocentric experiment videos, corresponding protocols, and vision-and-language alignments. A major ...
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