Papers by Sean Sedwards

1 papers
LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts (2025.emnlp-main)

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Challenge: Recent approaches to reduce visual tokens have been criticized for their computational efficiency and lack of visual reasoning capabilities.
Approach: They propose a novel multi-modal large language model that reduces the number of visual tokens and simultaneously boosts visual reasoning capabilities.
Outcome: The proposed model significantly reduces the number of visual tokens and boosts visual reasoning capabilities.

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