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Maria Lomeli
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2020 – today
- 2024
- [c9]Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu:
TOOLVERIFIER: Generalization to New Tools via Self-Verification. EMNLP (Findings) 2024: 5026-5041 - [c8]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 - [c7]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 - [i16]Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, Hervé Jégou:
The Faiss library. CoRR abs/2401.08281 (2024) - [i15]Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu:
TOOLVERIFIER: Generalization to New Tools via Self-Verification. CoRR abs/2402.14158 (2024) - [i14]Alisia Lupidi, Carlos Gemmell, Nicola Cancedda, Jane Dwivedi-Yu, Jason Weston, Jakob Foerster, Roberta Raileanu, Maria Lomeli:
Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources. CoRR abs/2409.08239 (2024) - [i13]Aaditya K. Singh, Muhammed Yusuf Kocyigit, Andrew Poulton, David Esiobu, Maria Lomeli, Gergely Szilvasy, Dieuwke Hupkes:
Evaluation data contamination in LLMs: how do we measure it and (when) does it matter? CoRR abs/2411.03923 (2024) - 2023
- [j6]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: 251:1-251:43 (2023) - [j5]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): 1142-1148 (2023) - [j4]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) - [c6]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 - [i12]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 abs/2302.04761 (2023) - [i11]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 abs/2302.07842 (2023) - [i10]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 abs/2310.01352 (2023) - [i9]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 abs/2310.10638 (2023) - 2022
- [i8]Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. 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 abs/2207.06220 (2022) - [i7]Gautier Izacard, Patrick S. H. 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 abs/2208.03299 (2022) - [i6]Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick S. H. Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni:
EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR abs/2209.13331 (2022) - 2021
- [c5]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: 1-9 - [c4]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: 2:1-2:10 - [c3]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: 140-149 - 2020
- [j3]Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani:
General Latent Feature Models for Heterogeneous Datasets. J. Mach. Learn. Res. 21: 100:1-100:49 (2020) - [i5]Divya Gautam, Maria Lomeli, Kostis Gourgoulias, Daniel H. Thompson, Saurabh Johri:
Masking schemes for universal marginalisers. CoRR abs/2001.05895 (2020)
2010 – 2019
- 2019
- [j2]Maria Lomeli, Mark Rowland, Arthur Gretton, Zoubin Ghahramani:
Antithetic and Monte Carlo kernel estimators for partial rankings. Stat. Comput. 29(5): 1127-1147 (2019) - [i4]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 abs/1910.07474 (2019) - 2018
- [i3]Maria Lomeli, Mark Rowland, Arthur Gretton, Zoubin Ghahramani:
Antithetic and Monte Carlo kernel estimators for partial rankings. CoRR abs/1807.00400 (2018) - [i2]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 abs/1811.04727 (2018) - 2015
- [j1]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): 67-78 (2015) - [c2]Maria Lomeli, Stefano Favaro, Yee Whye Teh:
A hybrid sampler for Poisson-Kingman mixture models. NIPS 2015: 2161-2169 - 2014
- [c1]Dino Sejdinovic, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu, Arthur Gretton:
Kernel Adaptive Metropolis-Hastings. ICML 2014: 1665-1673 - 2013
- [i1]Dino Sejdinovic, Maria Lomeli Garcia, Heiko Strathmann, Christophe Andrieu, Arthur Gretton:
Kernel Adaptive Metropolis-Hastings. CoRR abs/1307.5302 (2013)
Coauthor Index
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last updated on 2025-01-21 00:23 CET by the dblp team
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