Maria Lomeli

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 26

Top Topics

Improvements In Retrieval Effectiveness

Top Venues

J. Mach. Learn. Res.

Publications

Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. ICLR (2024)
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis
In-Context Pretraining: Language Modeling Beyond Document Boundaries. ICLR (2024)
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, Hervé Jégou
The Faiss library. CoRR (2024)
Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
TOOLVERIFIER: Generalization to New Tools via Self-Verification. CoRR (2024)
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
In-Context Pretraining: Language Modeling Beyond Document Boundaries. CoRR (2023)
Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
Augmented Language Models: a Survey. CoRR (2023)
Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
Augmented Language Models: a Survey. Trans. Mach. Learn. Res. 2023 (2023)
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
Toolformer: Language Models Can Teach Themselves to Use Tools. CoRR (2023)
Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
Atlas: Few-shot Learning with Retrieval Augmented Language Models. J. Mach. Learn. Res. 24 (2023)
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
Improving Wikipedia verifiability with AI. Nat. Mac. Intell. 5 (10) (2023)
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
Toolformer: Language Models Can Teach Themselves to Use Tools. NeurIPS (2023)
Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. CoRR (2023)
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
Improving Wikipedia Verifiability with AI. CoRR (2022)
Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
Few-shot Learning with Retrieval Augmented Language Models. CoRR (2022)
Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni
EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR (2022)
Kinga Bojarczuk, Natalija Gucevska, Simon M. M. Lucas, Inna Dvortsova, Mark Harman, Erik Meijer, Silvia Sapora, Johann George, Maria Lomeli, Rubmary Rojas
Measurement Challenges for Cyber Cyber Digital Twins: Experiences from the Deployment of Facebook's WW Simulation System. ESEM (2021)
John Ahlgren, Kinga Bojarczuk, Sophia Drossopoulou, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Maria Lomeli, Simon M. M. Lucas, Erik Meijer, Steve Omohundro, Rubmary Rojas, Silvia Sapora, Norm Zhou
Facebook's Cyber-Cyber and Cyber-Physical Digital Twins. EASE (2021)
John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Maria Lomeli, Erik Meijer, Silvia Sapora, Justin Spahr-Summers
Testing Web Enabled Simulation at Scale Using Metamorphic Testing. ICSE (SEIP) (2021)
Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani
General Latent Feature Models for Heterogeneous Datasets. J. Mach. Learn. Res. 21 (2020)
Divya Gautam, Maria Lomeli, Kostis Gourgoulias, Daniel H. Thompson, Saurabh Johri
Masking schemes for universal marginalisers. CoRR (2020)
Robert Walecki, Kostis Gourgoulias, Adam Baker, Chris Hart, Chris Lucas, Max Zwiessele, Albert Buchard, Maria Lomeli, Yura Perov, Saurabh Johri
Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs. CoRR (2019)
Maria Lomeli, Mark Rowland, Arthur Gretton, Zoubin Ghahramani
Antithetic and Monte Carlo kernel estimators for partial rankings. Stat. Comput. 29 (5) (2019)
Robert Walecki, Albert Buchard, Kostis Gourgoulias, Chris Hart, Maria Lomeli, Alexandre K. W. Navarro, Max Zwiessele, Yura Perov, Saurabh Johri
Universal Marginalizer for Amortised Inference and Embedding of Generative Models. CoRR (2018)
Maria Lomeli, Mark Rowland, Arthur Gretton, Zoubin Ghahramani
Antithetic and Monte Carlo kernel estimators for partial rankings. CoRR (2018)
Maria Lomeli, Stefano Favaro, Yee Whye Teh
A hybrid sampler for Poisson-Kingman mixture models. NIPS (2015)
Stefano Favaro, Maria Lomeli, Yee Whye Teh
On a class of σ-stable Poisson-Kingman models and an effective marginalized sampler. Stat. Comput. 25 (1) (2015)