基本信息
views: 246
Career Trajectory
Bio
He is interested in the science of AI and AI for science, and he works on reproducibility and efficiency in AI research. His research has highlighted the growing computational cost of AI systems, including the environmental impact of AI and inequality in the research community. He has worked extensively on improving transparency in AI research, including open sourcing and documenting datasets, data governance, and measuring bias in data. He has also worked on developing efficient methods, including model compression and improving efficiency of training large language models.
Research Interests
Papers共 54 篇Author StatisticsCo-AuthorSimilar Experts
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Luca Soldaini,Rodney Kinney,Akshita Bhagia,Dustin Schwenk, David Atkinson, Russell Authur,Ben Bogin,Khyathi Chandu, Jennifer Dumas,Yanai Elazar,Valentin Hofmann,Ananya Harsh Jha,
CoRR (2024)
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arxiv(2024)
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arxiv(2024)
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Dirk Groeneveld,Iz Beltagy,Pete Walsh,Akshita Bhagia,Rodney Kinney,Oyvind Tafjord,Ananya Harsh Jha,Hamish Ivison,Ian Magnusson,Yizhong Wang, Shane Arora, David Atkinson,
CoRR (2024)
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Koustuv Sinha,Maurits Bleeker,Samarth Bhargav,Jessica Zosa Forde, Sharath Chandra Raparthy,Jesse Dodge,Joëlle Pineau,Robert Stojnic
Zenodo (CERN European Organization for Nuclear Research) (2023)
CoRR (2023)
17TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023 (2023): 2054-2063
arXiv (Cornell University) (2023)
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