Fabio Petroni

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Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindVerified email at cs.ucl.ac.uk
Antonio ScalaResearch Director, CNR-ISC Uos "La Sapienza"Verified email at cnr.it
Fabiana ZolloAssociate Professor of Computer Science, Ca' Foscari University of VeniceVerified email at unive.it
Alessandro BessiPostdoc Researcher at Information Sciences Institute, University of Southern CaliforniaVerified email at isi.edu
Tim RocktäschelProfessor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMindVerified email at cs.ucl.ac.uk
Walter QuattrociocchiSapienza University of RomeVerified email at uniroma1.it
Michela Del VicarioSr. Data Scientist, BayerVerified email at imtlucca.it
Guido CaldarelliAPS fellow, Full Professor Theoretical Physics, DSMN, Ca’ Foscari, VeniceVerified email at unive.it
Aleksandra PiktusCohere | Sapienza, University of RomeVerified email at cohere.com
Leonardo QuerzoniAssociate Professor, Sapienza University of RomeVerified email at diag.uniroma1.it
Scott Wen-tau YihFAIR at MetaVerified email at meta.com
H. Eugene StanleyProfessor of Physics, Boston UniversityVerified email at bu.edu
Vladimir Karpukhinfacebook AI researchVerified email at fb.com
Nicola De CaoResearch Scientist @ Google DeepMindVerified email at google.com
Yuxiang WuUniversity College LondonVerified email at ucl.ac.uk
Alexander Holden MillerMeta Fundamental AI Research (FAIR)Verified email at meta.com
Vassilis PlachourasFacebook, London, UKVerified email at acm.org
Naman GoyalFacebook AI ResearchVerified email at gatech.edu
Heinrich KüttlerInflection AIVerified email at math.lmu.de
Jochen L. LeidnerProfessor of Artificial Intelligence, Coburg U. / Visiting Professor, U. of SheffieldVerified email at acm.org

Fabio Petroni

Samaya AI

Verified email at samaya.ai - Homepage

machine knowledge


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The spreading of misinformation online M Del Vicario, A Bessi, F Zollo, F Petroni, A Scala, G Caldarelli, ... Proceedings of the national academy of Sciences 113 (3), 554-559, 2016	2405	2016
Language Models as Knowledge Bases? F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel EMNLP 2019, 2019	1850	2019
Retrieval-augmented generation for knowledge-intensive nlp tasks P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... NeurIPS 2020, 2020	1121	2020
Scalable zero-shot entity linking with dense entity retrieval L Wu, F Petroni, M Josifoski, S Riedel, L Zettlemoyer EMNLP 2020, 2019	382	2019
Kilt: a benchmark for knowledge intensive language tasks F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ... NAACL-HLT 2021, 2021	311	2021
Autoregressive entity retrieval N De Cao, G Izacard, S Riedel, F Petroni ICLR 2020, 2020	305	2020
Few-shot learning with retrieval augmented language models G Izacard, P Lewis, M Lomeli, L Hosseini, F Petroni, T Schick, ... arXiv preprint arXiv:2208.03299, 2022	191	2022
Viral misinformation: The role of homophily and polarization A Bessi, F Petroni, M Del Vicario, F Zollo, A Anagnostopoulos, A Scala, ... Proceedings of the 24th international conference on World Wide Web, 355-356, 2015	167	2015
Safe: Self-attentive function embeddings for binary similarity L Massarelli, GA Di Luna, F Petroni, R Baldoni, L Querzoni Detection of Intrusions and Malware, and Vulnerability Assessment: 16th …, 2019	164	2019
Hdrf: Stream-based partitioning for power-law graphs F Petroni, L Querzoni, K Daudjee, S Kamali, G Iacoboni Proceedings of the 24th ACM international on conference on information and …, 2015	160	2015
How Context Affects Language Models' Factual Predictions F Petroni, P Lewis, A Piktus, T Rocktäschel, Y Wu, AH Miller, S Riedel AKBC 2020 (Best Paper Award), 2020	153	2020
Homophily and polarization in the age of misinformation A Bessi, F Petroni, MD Vicario, F Zollo, A Anagnostopoulos, A Scala, ... The European Physical Journal Special Topics 225, 2047-2059, 2016	127	2016
Cutting down on prompts and parameters: Simple few-shot learning with language models RL Logan IV, I Balažević, E Wallace, F Petroni, S Singh, S Riedel ACL 2022, 2022	123	2022
Multilingual autoregressive entity linking N De Cao, L Wu, K Popat, M Artetxe, N Goyal, M Plekhanov, ... Transactions of the Association for Computational Linguistics 10, 274-290, 2022	86	2022
Lost in the middle: How language models use long contexts NF Liu, K Lin, J Hewitt, A Paranjape, M Bevilacqua, F Petroni, P Liang arXiv preprint arXiv:2307.03172, 2023	80	2023
Investigating graph embedding neural networks with unsupervised features extraction for binary analysis L Massarelli, GA Di Luna, F Petroni, L Querzoni, R Baldoni Proceedings of the 2nd Workshop on Binary Analysis Research (BAR), 1-11, 2019	68	2019
Minihack the planet: A sandbox for open-ended reinforcement learning research M Samvelyan, R Kirk, V Kurin, J Parker-Holder, M Jiang, E Hambro, ... NeurIPS 2021: Datasets and Benchmarks Track, 2021	63	2021
Autoregressive search engines: Generating substrings as document identifiers M Bevilacqua, G Ottaviano, P Lewis, S Yih, S Riedel, F Petroni Advances in Neural Information Processing Systems 35, 31668-31683, 2022	62	2022
Echo chambers in the age of misinformation M Del Vicario, A Bessi, F Zollo, F Petroni, A Scala, G Caldarelli, ... arXiv preprint arXiv:1509.00189, 2015	60	2015
Neurips 2020 efficientqa competition: Systems, analyses and lessons learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021	57	2021

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