Papers with cutting-edge Multi-Modal Large Language Model

1 papers
MM-IGLU: Multi-Modal Interactive Grounded Language Understanding (2024.lrec-main)

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Challenge: In human-robot interaction, a robot interprets user commands related to its environment, aiming to discern whether a specific command can be executed.
Approach: They propose to integrate user statements with environment's description to create a multi-modal interactive Grounded language understanding model that integrates both visual and textual data.
Outcome: The proposed model integrates user’s statement with environment’s description and a cutting-edge Multi-Modal Large Language Model merges both visual and textual data.

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