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cs.AI2026
A Prompt-Aware Structuring Framework for Reliable Reuse of AI-Generated Content in the Agentic Web
Shusaku Egami, Masahiro Hamasaki
The evolution of Large Language Models (LLMs) and the software agents built on them (AI agents) marks a turning point in the transition from a human-centric Web to an ``Agentic Web…
cs.AI2024
Multimodal Datasets and Benchmarks for Reasoning about Dynamic Spatio-Temporality in Everyday Environments
Takanori Ugai, Kensho Hara, Shusaku Egami +1
We used a 3D simulator to create artificial video data with standardized annotations, aiming to aid in the development of Embodied AI. Our question answering (QA) dataset measures…
cs.AI2024
VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities
Shusaku Egami, Takahiro Ugai, Swe Nwe Nwe Htun +1
Multi-modal knowledge graphs (MMKGs), which ground various non-symbolic data (e.g., images and videos) into symbols, have attracted attention as resources enabling knowledge proces…