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Kentaro Yamada on Muck Rack

Kentaro Yamada

As seen in: Emerging Infectious Diseases, Bandcamp Daily, ScienceDirect, MDPI, Bored Panda, Science Magazine, Dialnet - Universidad de La Rioja, Chemistry World, Journal of Interventional Radiology (JVIR)

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Articles

LLM-Driven Multi-Modal Biological Spectrum Analysis via Contribution-Aware Dynamic Fusion and Flow-Based Distillation

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By Kentaro Yamada, Nicholas Campbell
| preprints.org
This version is not peer-reviewed. You are already at the latest version The integration of mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy holds great promise for comprehensive biomolecular profiling, yet existing computational approaches are limited to single modality analysis, employ static fusion strategies, and incur prohibitive inference costs. We propose SpectraLLM, a unified large language model-driven framework for multi-modal biological spectrum analysis.
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Collaborative Assembly with Dynamic Environment for Human-Robot Interaction via Multi-Modal Large Language Model

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By Kentaro Yamada, Nicholas Campbell
| preprints.org
This open access article is published under a , which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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SRIN: Structured Reasoning Integration Network for Robust Video Question Answering

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By Kentaro Yamada
| preprints.org
This version is not peer-reviewed. You are already at the latest version Video Question Answering (VideoQA) demands deep understanding of visual, temporal, and causal relationships. While Multimodal Large Language Models (MLLMs) offer powerful reasoning capabilities, their raw outputs often lack structure, contain noise, or include erroneous conclusions, posing challenges for effective integration.
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