Results 21 to 30 of about 18,544,591 (363)

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents [PDF]

Neural Information Processing Systems, 2022
Existing benchmarks for grounding language in interactive environments either lack real-world linguistic elements, or prove difficult to scale up due to substantial human involvement in the collection of data or feedback signals.
Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan   +3 more
semanticscholar   +1 more source

Real-world concurrency [PDF]

Communications of the ACM, 2008
What does the proliferation of concurrency mean for the software you develop?
Bryan Cantrill, Jeff Bonwick
openaire   +1 more source

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset [PDF]

International Conference on Learning Representations, 2023
Studying how people interact with large language models (LLMs) in real-world scenarios is increasingly important due to their widespread use in various applications.
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Haotong Zhang   +12 more
semanticscholar   +1 more source

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception [PDF]

Computer Vision and Pattern Recognition, 2023
Modern perception systems of autonomous vehicles are known to be sensitive to occlusions and lack the capability of long perceiving range. It has been one of the key bottlenecks that prevents Level 5 autonomy.
Runsheng Xu, Xin Xia, Jinlong Li, Hanzhao Li, Shuo Zhang, Zhengzhong Tu, Zonglin Meng, Hao Xiang, Xiaoyu Dong, Rui Song, Hongkai Yu, Bolei Zhou, Jiaqi Ma   +12 more
semanticscholar   +1 more source

Benefit of prompt initiation of single-inhaler fluticasone furoate, umeclidinium, and vilanterol (FF/UMEC/VI) in patients with COPD in England following an exacerbation: a retrospective cohort study

Respiratory Research, 2023
Background Triple therapy is recommended for patients with chronic obstructive pulmonary disease (COPD) who remain symptomatic despite dual therapy. The optimal timing of triple therapy following an exacerbation of COPD is unknown. The outcomes of prompt
Afisi S. Ismaila, Kieran J. Rothnie, Robert P. Wood, Victoria L. Banks, Lucinda J. Camidge, Alexandrosz Czira, Chris Compton, Raj Sharma, Shannon N. Millard, Olivia Massey, David M. G. Halpin   +10 more
doaj   +1 more source

Machine learning using longitudinal prescription and medical claims for the detection of non-alcoholic steatohepatitis (NASH)

BMJ Health & Care Informatics, 2022
Objectives To develop and evaluate machine learning models to detect patients with suspected undiagnosed non-alcoholic steatohepatitis (NASH) for diagnostic screening and clinical management.Methods In this retrospective observational non-interventional ...
Orla Doyle, Ozge Yasar, Patrick Long, Brett Harder, Hanna Marshall, Sanjay Bhasin, Suyin Lee, Mark Delegge, Stephanie Roy, Nadea Leavitt, John Rigg   +10 more
doaj   +1 more source

Domain randomization for transferring deep neural networks from simulation to the real world [PDF]

IEEE/RJS International Conference on Intelligent RObots and Systems, 2017
Bridging the ‘reality gap’ that separates simulated robotics from experiments on hardware could accelerate robotic research through improved data availability.
Joshua Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, P. Abbeel   +5 more
semanticscholar   +1 more source

Impact of next-generation hormonal agents on treatment patterns among patients with metastatic hormone-sensitive prostate cancer: a real-world study from the United States, five European countries and Japan

BMC Urology, 2022
Background Until five years ago, the metastatic hormone-sensitive prostate cancer (mHSPC) treatment landscape was dominated by the use of androgen deprivation therapy (ADT) alone.
Andrea Leith, Amanda Ribbands, Jeri Kim, Emily Clayton, Liane Gillespie-Akar, Lingfeng Yang, Sameer R. Ghate   +6 more
doaj   +1 more source

DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving [PDF]

arXiv.org, 2023
World models, especially in autonomous driving, are trending and drawing extensive attention due to their capacity for comprehending driving environments.
Xiaofeng Wang, Zheng Hua Zhu, Guan Huang, Xinze Chen, Jiwen Lu   +4 more
semanticscholar   +1 more source

A Holistic Approach to Undesired Content Detection in the Real World [PDF]

AAAI Conference on Artificial Intelligence, 2022
We present a holistic approach to building a robust and useful natural language classification system for real-world content moderation. The success of such a system relies on a chain of carefully designed and executed steps, including the design of ...
Todor Markov, Chong Zhang, S. Agarwal, Tyna Eloundou, Teddy Lee, Steven Adler, Angela Jiang, L. Weng   +7 more
semanticscholar   +1 more source