Maria Lomeli

33 papers A* 3A 2Journal 25Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Faiss Library.
IEEE Trans. Big Data
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, Hervé Jégou
2025 J jnl
Inference-time sparse attention with asymmetric indexing.
CoRR
Pierre-Emmanuel Mazaré, Gergely Szilvasy, Maria Lomeli, Francisco Massa, Naila Murray, Hervé Jégou, Matthijs Douze
2025 J jnl
Short window attention enables long-term memorization.
CoRR
Loïc Cabannes, Maximilian Beck, Gergely Szilvasy, Matthijs Douze, Maria Lomeli, Jade Copet, Pierre-Emmanuel Mazaré, Gabriel Synnaeve, Hervé Jégou
2025 J jnl
Stochastic activations.
CoRR
Maria Lomeli, Matthijs Douze, Gergely Szilvasy, Loïc Cabannes, Jade Copet, Sainbayar Sukhbaatar, Jason Weston, Gabriel Synnaeve, Pierre-Emmanuel Mazaré, Hervé Jégou
2024 J jnl
Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
CoRR
Aaditya K. Singh, Muhammed Yusuf Kocyigit, Andrew Poulton, David Esiobu, Maria Lomeli, Gergely Szilvasy, Dieuwke Hupkes
2024 A* conf
In-Context Pretraining: Language Modeling Beyond Document Boundaries.
ICLR
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis
2024 A* conf
RA-DIT: Retrieval-Augmented Dual Instruction Tuning.
ICLR
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
2024 J jnl
Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources.
CoRR
Alisia Maria Lupidi, Carlos Gemmell, Nicola Cancedda, Jane Dwivedi-Yu, Jason Weston, Jakob N. Foerster, Roberta Raileanu, Maria Lomeli
2024 — conf
TOOLVERIFIER: Generalization to New Tools via Self-Verification.
EMNLP (Findings)
Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
2024 J jnl
TOOLVERIFIER: Generalization to New Tools via Self-Verification.
CoRR
Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
2024 J jnl
The Faiss library.
CoRR
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, Hervé Jégou
2023 J jnl
Atlas: Few-shot Learning with Retrieval Augmented Language Models.
J. Mach. Learn. Res.
Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
2023 J jnl
Augmented Language Models: a Survey.
CoRR
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
2023 J jnl
Augmented Language Models: a Survey.
Trans. Mach. Learn. Res.
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
2023 J jnl
Improving Wikipedia verifiability with AI.
Nat. Mac. Intell.
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
2023 J jnl
In-Context Pretraining: Language Modeling Beyond Document Boundaries.
CoRR
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
2023 J jnl
RA-DIT: Retrieval-Augmented Dual Instruction Tuning.
CoRR
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
2023 A* conf
Toolformer: Language Models Can Teach Themselves to Use Tools.
NeurIPS
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
2023 J jnl
Toolformer: Language Models Can Teach Themselves to Use Tools.
CoRR
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
2022 J jnl
EditEval: An Instruction-Based Benchmark for Text Improvements.
CoRR
Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni
2022 J jnl
Few-shot Learning with Retrieval Augmented Language Models.
CoRR
Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
2022 J jnl
Improving Wikipedia Verifiability with AI.
CoRR
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
2021 A conf
Facebook's Cyber-Cyber and Cyber-Physical Digital Twins.
EASE
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
2021 A conf
Measurement Challenges for Cyber Cyber Digital Twins: Experiences from the Deployment of Facebook's WW Simulation System.
ESEM
Kinga Bojarczuk, Natalija Gucevska, Simon M. M. Lucas, Inna Dvortsova, Mark Harman, Erik Meijer, Silvia Sapora, Johann George, Maria Lomeli, Rubmary Rojas
2021 — conf
Testing Web Enabled Simulation at Scale Using Metamorphic Testing.
ICSE (SEIP)
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
2020 J jnl
General Latent Feature Models for Heterogeneous Datasets.
J. Mach. Learn. Res.
Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani
2020 J jnl
Masking schemes for universal marginalisers.
CoRR
Divya Gautam, Maria Lomeli, Kostis Gourgoulias, Daniel H. Thompson, Saurabh Johri
2019 J jnl
Antithetic and Monte Carlo kernel estimators for partial rankings.
Stat. Comput.
Maria Lomeli, Mark Rowland, Arthur Gretton, Zoubin Ghahramani
2019 J jnl
Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs.
CoRR
Robert Walecki, Kostis Gourgoulias, Adam Baker, Chris Hart, Chris Lucas, Max Zwiessele, Albert Buchard, Maria Lomeli, Yura Perov, Saurabh Johri
2018 J jnl
Antithetic and Monte Carlo kernel estimators for partial rankings.
CoRR
Maria Lomeli, Mark Rowland, Arthur Gretton, Zoubin Ghahramani
2018 J jnl
Universal Marginalizer for Amortised Inference and Embedding of Generative Models.
CoRR
Robert Walecki, Albert Buchard, Kostis Gourgoulias, Chris Hart, Maria Lomeli, Alexandre K. W. Navarro, Max Zwiessele, Yura Perov, Saurabh Johri
2015 — conf
A hybrid sampler for Poisson-Kingman mixture models.
NIPS
Maria Lomeli, Stefano Favaro, Yee Whye Teh
2015 J jnl
On a class of σ-stable Poisson-Kingman models and an effective marginalized sampler.
Stat. Comput.
Stefano Favaro, Maria Lomeli, Yee Whye Teh