Future-proofing geotechnics workflows: accelerating problem-solving with large language models-Reference-Cited by-同舟云学术

Future-proofing geotechnics workflows: accelerating problem-solving with large language models

Published:2024-07-25 Issue: Volume: Page:1-18
ISSN:1749-9518
Container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
language:en
Short-container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards

Author:

Wu Stephen¹²,Otake Yu³,Mizutani Daijiro³,Liu Chang¹,Asano Kotaro³,Sato Nana³,Saito Taiga³,Baba Hidetoshi⁴,Fukunaga Yusuke⁵,Higo Yosuke⁴,Kamura Akiyoshi³,Kodama Shinnosuke⁶,Metoki Masataka³,Nakamura Tomoka³,Nakazato Yuto³,Shioi Akihiro⁷,Takenobu Masahiro⁸,Tsukioka Keigo⁹,Yoshikawa Ryo⁴

Affiliation:

1. Research Organization of Information and Systems, The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan

2. Department of Statistical Science, The Graduate University for Advanced Studies, Tachikawa, Tokyo, Japan

3. Department of Civil Environmental Engineering, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan

4. Department of Urban Management, Graduate School of Engineering, Kyoto University, Nishikyo-ku, Kyoto, Japan

5. Planning Department, Coastal Development Institute of Technology, Minato, Tokyo, Japan

6. Civil Engineering Group, Urban and Civil Project Department, Nikken Sekkei Ltd, Chiyoda, Tokyo, Japan

7. Disaster Prevention Solution Department, Kozo Keikaku Engineering Inc, Nakano, Tokyo, Japan

8. Port and Harbor Department, National Institute for Land and Infrastructure Management, Yokosuka, Japan

9. Railway Technical Research Institute, Kokubunji, Tokyo, Japan

Funder

Research Organization of Information and Systems

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17499518.2024.2381026

Reference51 articles.

1. Ahn Janice Rishu Verma Renze Lou Di Liu Rui Zhang and Wenpeng Yin. 2024. “Large Language Models for Mathematical Reasoning: Progresses and Challenges.” arXiv 2402.00157.

2. Sustainability and geotechnical engineering: perspectives and review

3. Bommasani Rishi Drew A. Hudson Ehsan Adeli Russ Altman Simran Arora Sydney von Arx Michael S. Bernstein et al. 2022. “On the Opportunities and Risks of Foundation Models.” arXiv 2108.07258.

4. Building Information Modeling

5. Brown Tom Benjamin Mann Nick Ryder Melanie Subbiah Jared D. Kaplan Prafulla Dhariwal Arvind Neelakantan et al. 2020. “Language Models are Few-Shot Learners.” In Advances in Neural Information Processing Systems edited by H. Larochelle M. Ranzato R. Hadsell M.F. Balcan and H. Lin Vol. 33 1877–1901. Red Hook NY: Curran Associates Inc.