Maria Lomeli
Scholar

Maria Lomeli

Google Scholar ID: 8SK2fPAAAAAJ
Meta FAIR
Citations & Impact
All-time
Citations
5,957
 
H-index
17
 
i10-index
19
 
Publications
20
 
Co-authors
27
list available
Contact
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Resume (English only)
Academic Achievements
  • Published 'Improving wikipedia verifiability with AI' in Nature Machine Intelligence (2023)
  • Published 'Atlas: few-shot learning with retrieval-augmented language models' in Journal of Machine Learning Research (2023)
  • Co-authored survey 'Augmented language models: a survey' in Transactions of Machine Learning Research (2023)
  • Published 'General Latent Feature Model for Heterogeneous Datasets' in JMLR (2020)
  • Published 'Antithetic and Monte Carlo kernel estimators for partial rankings' in Statistics and Computing (2019)
  • Multiple papers on Poisson-Kingman mixture models in JCGS, EJS, and Statistics and Computing (2014–2017)
  • Oral presentation at NeurIPS 2023: 'Toolformer: language models can teach themselves to use tools'
  • Two papers at ICLR 2024: 'RA-DIT' and 'In-Context Pretraining' (the latter accepted as Spotlight)
  • Published 'Toolverifier' in EMNLP Findings 2024
  • Published 'EditEval' at CoNLL 2024
  • Published software engineering paper at ICSE 2021 on metamorphic testing
  • Early work on Bayesian samplers and kernel adaptive MCMC at NeurIPS 2015 and ICML 2014