Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language

14 May 2024

Papers citing "Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language"

6 / 6 papers shown

Title
LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments Maonan Wang Aoyu Pang Yuheng Kan Man-On Pun Chung Shue Chen Bo Huang 77 21 0 13 Mar 2024
PACuna: Automated Fine-Tuning of Language Models for Particle Accelerators Antonin Sulc Raimund Kammering Annika Eichler T. Wilksen 68 3 0 29 Oct 2023
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models Pengfei Li Jianyi Yang M. A. Islam Shaolei Ren 178 134 0 06 Apr 2023
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 243 234 0 23 Mar 2021
Autonomous Control of a Particle Accelerator using Deep Reinforcement Learning X. Pang S. Thulasidasan L. Rybarcyk 26 10 0 16 Oct 2020
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 113 2,006 0 14 Jun 2016