Papers by Shuhei Tateishi

2 papers
Word-Aware Modality Stimulation for Multimodal Fusion (2024.lrec-main)

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Challenge: Multimodal learning is expected to make more accurate predictions than text-only analysis.
Approach: They propose a method for fusing multimodal inputs with text-based fusion methods . they propose fusion that integrates non-verbal modalities with text .
Outcome: The proposed method improves sentiment prediction by using non-verbal modalities with text . the proposed method is unsuitable for applying attention to text modality in the fusion phase .
ACT: Knowledgeable Agents to Design and Perform Complex Tasks (2025.acl-long)

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Challenge: Large language models (LLMs) have rapidly evolved and become pervasive in everyday human life.
Approach: They propose a method called knowledgeable Agents to design and perform Complex Tasks where agents independently manage their knowledge and tasks while collaboratively design the complex task into a more comprehensible form.
Outcome: The proposed method outperforms existing methods in solving complex tasks.

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