3 papers
cs.CV2025
VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary Reconstruction
Hao Wang, Eiki Murata, Lingfang Zhang +11
Recent advances in multimodal large language models (MLLMs) have significantly enhanced video understanding capabilities, opening new possibilities for practical applications. Yet…
cs.CL2025
Traveling Across Languages: Benchmarking Cross-Lingual Consistency in Multimodal LLMs
Hao Wang, Pinzhi Huang, Jihan Yang +2
The rapid evolution of multimodal large language models (MLLMs) has significantly enhanced their real-world applications. However, achieving consistent performance across languages…
cs.HC2024
Harmony: A Human-Aware, Responsive, Modular Assistant with a Locally Deployed Large Language Model
Ziqi Yin, Mingxin Zhang, Daisuke Kawahara
Large Language Models (LLMs) offer powerful capabilities for natural language understanding, enabling more intelligent smart home assistants. However, existing systems often rely o…