Omron (Japan)

output

20192026

most citedBenchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints

24 citations

researchers with a paper here

Kazumi Kasaura4 · h 6
Ryo Yonetani4 · h 20
Felix von Drigalski2 profiles3 · h 9
Kazutoshi Tanaka3 profiles3 · h 14
Mai Nishimura2 profiles3 · h 7
Masashi Hamaya2 profiles3 · h 16
Ryo Igarashi2 profiles3 · h 6
Shigeo Yoshida3 profiles3 · h 6
Yoshitaka Ushiku3 · h 6
Yuta Suzuki3 · h 5
Atsushi Hashimoto2 profiles2 · h 11
C. C. Beltran-Hernandez2 · h 11

collaborating institutions

The University of OsakaJP4 papers
Kyoto UniversityJP2 papers
National Institute of Advanced Industrial Science and TechnologyJP2 papers
Omron Sinic X Corporation (Japan)JP2 papers
Toyota Motor Corporation (Japan)JP2 papers
Amherst CollegeUS1 paper
Beihang UniversityCN1 paper
Centre de Recherche en Économie et StatistiqueFR1 paper
Centre Max WeberFR1 paper
Chaotic.com (United States)US1 paper
Chubu UniversityJP1 paper
Criteo (France)FR1 paper

Showing 2024 · cs.CLShow all

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cs.CL2024

MaterialBENCH: Evaluating College-Level Materials Science Problem-Solving Abilities of Large Language Models

Michiko Yoshitake, Yuta Suzuki, Ryo Igarashi +2

A college-level benchmark dataset for large language models (LLMs) in the materials science field, MaterialBENCH, is constructed. This dataset consists of problem-answer pairs, bas…