Fabio Petroni
Fabio Petroni
Facebook AI Research
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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
Language Models as Knowledge Bases?
F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel
EMNLP 2019, 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
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
Scalable zero-shot entity linking with dense entity retrieval
L Wu, F Petroni, M Josifoski, S Riedel, L Zettlemoyer
EMNLP 2020, 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
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
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 (10), 2047-2059, 2016
Autoregressive entity retrieval
N De Cao, G Izacard, S Riedel, F Petroni
ICLR 2020, 2020
Safe: Self-attentive function embeddings for binary similarity
L Massarelli, GAD Luna, F Petroni, R Baldoni, L Querzoni
International Conference on Detection of Intrusions and Malware, and …, 2019
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
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
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
Core: Context-aware open relation extraction with factorization machines
F Petroni, L Del Corro, R Gemulla
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
Neural paraphrase generator
JL Leidner, V Plachouras, F Petroni
US Patent 10,733,380, 2020
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
arXiv preprint arXiv:2106.13353, 2021
How decoding strategies affect the verifiability of generated text
L Massarelli, F Petroni, A Piktus, M Ott, T Rocktäschel, V Plachouras, ...
Findings of ACL: EMNLP 2020, 2019
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), 2019
GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning.
F Petroni, L Querzoni
Proceedings of the 8th ACM Conference on Recommender systems, 241-248, 2014
A comparison of classification models for natural disaster and critical event detection from news
T Nugent, F Petroni, N Raman, L Carstens, JL Leidner
2017 IEEE International Conference on Big Data (Big Data), 3750-3759, 2017
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