Heron-Bench: A Benchmark for Evaluating Vision Language Models in Japanese

2 code implementations • 11 Apr 2024 • Yuichi Inoue, Kento Sasaki, Yuma Ochi, Kazuki Fujii, Kotaro Tanahashi, Yu Yamaguchi

Vision Language Models (VLMs) have undergone a rapid evolution, giving rise to significant advancements in the realm of multimodal understanding tasks.

NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup Annotations

1 code implementation • 11 Dec 2023 • Yuichi Inoue, Yuki Yada, Kotaro Tanahashi, Yu Yamaguchi

Visual Question Answering (VQA) is one of the most important tasks in autonomous driving, which requires accurate recognition and complex situation evaluations.

Autonomous Driving Descriptive +5

Evaluation of Large Language Models for Decision Making in Autonomous Driving

no code implementations • 11 Dec 2023 • Kotaro Tanahashi, Yuichi Inoue, Yu Yamaguchi, Hidetatsu Yaginuma, Daiki Shiotsuka, Hiroyuki Shimatani, Kohei Iwamasa, Yoshiaki Inoue, Takafumi Yamaguchi, Koki Igari, Tsukasa Horinouchi, Kento Tokuhiro, Yugo Tokuchi, Shunsuke Aoki

Various methods have been proposed for utilizing Large Language Models (LLMs) in autonomous driving.

Autonomous Driving Decision Making

PyQUBO: Python Library for Mapping Combinatorial Optimization Problems to QUBO Form

no code implementations • 2 Mar 2021 • Mashiyat Zaman, Kotaro Tanahashi, Shu Tanaka

QUBOs and Ising models formulated using PyQUBO are solvable by Ising machines, including quantum annealing machines.

Combinatorial Optimization Quantum Physics Emerging Technologies