Publications

This page is rarely updated! Refer to dblp or Google Scholar for an updated overview.
 

Conference Papers  

X. Lin, F. Petroni, G. Bertasius, M. Rohrbach, S. Chang, L. Torresani
"Learning To Recognize Procedural Activities with Distant Supervision"
In: CVPR 2022

M. Josifoski, N. De Cao, M. Peyrard, F. Petroni, R. West
"GenIE: Generative Information Extraction"
In: NAACL-HLT 2022

P Lewis, B Oğuz, W Xiong, F Petroni, W Yih, S Riedel
"Boosted Dense Retriever"
In: NAACL-HLT 2022

D. Simig, F. Petroni, P. Yanki, K. Popat, C. Du, S. Riedel, M. Yazdani
"Open Vocabulary Extreme Classification Using Generative Models
In: ACL 2022

R. L Logan IV, I. Balažević, E. Wallace, F. Petroni, S. Singh, S. Riedel
"Cutting down on prompts and parameters: Simple few-shot learning with language models"
In: ACL 2022

M. Samvelyan, R. Kirk, V. Kurin, J. Parker-Holder, M. Jiang, E. Hambro, F. Petroni, H. Küttler, E. Grefenstette, T. Rocktäschel
"MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research"
In: NeurIPS 2021: Datasets and Benchmarks Track

F. Errica, L. Denoyer, B. Edizel, F. Petroni, V. Plachouras, F. Silvestri, S. Riedel:
"Concept Matching for Low-Resource Classification"
In: IJCNN 2021

J. Maillard, V. Karpukhin, F. Petroni, W. Yih, B. Oğuz, V. Stoyanov, G. Ghosh:
"Multi-task Retrieval for Knowledge-Intensive Tasks"
In: ACL 2021

F. Petroni, A. Piktus, A. Fan, P. Lewis, M. Yazdani, N. De Cao, J. Thorne, Y. Jernite, V. Plachouras, V. Karpukhin, J. Maillard, T. Rocktäschel, S. Riedel:
"KILT: a benchmark for knowledge intensive language tasks"
In: NAACL-HLT 2021

N. De Cao, G. Izacard, S. Riedel, F. Petroni:
"Autoregressive Entity Retrieval"
In: ICLR 2021 

A. Fan, A. Piktus, F. Petroni, G. Wenzek, M. Saeidi, A. Vlachos, A. Bordes, S. Riedel:
"Generating Fact Checking Briefs"
In: EMNLP 2020

P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W. Yih, T. Rocktäschel, S. Riedel, D. Kiela:
"Retrieval-augmented generation for knowledge-intensive nlp tasks"
In: NeurIPS 2020

L Wu, F Petroni, M Josifoski, S Riedel, L Zettlemoyer:
"Scalable Zero-shot entity linking with dense entity retrieval"
In: EMNLP 2020

L. Massarelli, F. Petroni, A. Piktus, M. Ott, T. Rocktäschel, V. Plachouras, F. Silvestri, S. Riedel:
"How decoding strategies affect the verifiability of generated text"
In: Findings of ACL: EMNLP 2020

F Petroni, P Lewis, A Piktus, T Rocktäschel, Y Wu, AH Miller, S Riedel:
"How Context Affects Language Models' Factual Predictions"
In: AKBC, 2020. BEST PAPER AWARD 
 
F. Petroni, T. Rocktäschel, S. Riedel, P. Lewis, A. Bakhtin, Y. Wu and A. H. Miller:
"Language Models as Knowledge Bases?"
In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. 
 
T. Nugent, F. Petroni, B. Whittam-Smithy and J. L. Leidner:
"An On-Chain Method for Automatic Entitlement Management Using Blockchain Smart Contracts."
In: Proceedings of the 2nd Workshop on Blockchain and Smart Contract Technologies (BSCT), 2019.
 
L. Massarelli, G. A. Di Luna, F. Petroni, L. Querzoni and R. Baldoni:
"SAFE: Self-attentive function embeddings for binary similarity."
In: Proceedings of the International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment (DIMVA), 2019. BEST PAPER AWARD RUNNER-UP
 
L. Massarelli, G. A. Di Luna, F. Petroni, L. Querzoni and R. Baldoni:
"Investigating graph embedding neural networks with unsupervised features extraction for binary analysis."
In: Proceedings of the 2nd Workshop on Binary Analysis Research (BAR), 2019.
 
F. Petroni, N. Raman, T. Nugent, A. Nourbakhsh, Z. Panic, S. Shah and J. L. Leidner:
"An Extensible Event Extraction System With Cross-Media Event Resolution."
In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018.
 
F. Petroni, V. Plachouras, T. Nugent and J. L. Leidner:
"attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines."
In: Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018. [pdf][bib][poster][source code]
 
V. Plachouras, F. Petroni, T. Nugent and J. L. Leidner:
"A Comparison of Two Paraphrase Models for Taxonomy Augmentation."
In: Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018. [pdf][bib][poster]
 
T. Nugent, F. Petroni, N. Raman, L. Carstens and J. L. Leidner:
"A Comparison of Classification Models for Natural Disaster and Critical Event Detection from News."
In: Workshop on Data Science for Emergency Management (DSEM), 2017. [pdf] [bib]
 
A. Bessi, F. Zollo, M. Del Vicario, A. Scala, F. Petroni, B. Gonçcalves, W. Quattrociocchi:
"Everyday the Same Picture: Popularity and Content Diversity." [pdf] [bib]
In: Workshop on Complex Networks (CompleNet), 2017.
 
A. Anagnostopoulos, F. Petroni, M. Sorella:
"Targeted Interest-Driven Advertising in Cities Using Twitter." [pdf][bib] 
In: Proceedings of the 10th International AIII Conference on Web and Social Media (ICWSM), 2016.
 
F. Petroni, L. Querzoni, R. Beraldi, M. Paolucci:
"Exploiting User Feedback for Online Filtering in Event-based Systems." [pdf][bib]
In: Proceedings of the 31st ACM/SIGAPP Symposium on Applied Computing (SAC), 2016.
 
F. Petroni, L. Querzoni, K. Daudjee, S. Kamali and G. Iacoboni:
"HDRF: Stream-Based Partitioning for Power-Law Graphs." [pdf][bib][presentation][source code]
In: Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), 2015.
HDRF has been integrated in GraphLab PowerGraph!
 
F. Petroni, L. Del Corro and R. Gemulla:
"CORE: Context-Aware Open Relation Extraction with Factorization Machines." [pdf][bib] [presentation][source code]
In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015. 
 
A. Bessi, F. Petroni, M. Del Vicario, F. Zollo, A. Anagnostopoulos, A. Scala, G. Caldarelli, W. Quattrociocchi:
"Viral Misinformation: The Role of Homophily and Polarization." [pdf] [bib]
In: Proceedings of the 24th International Conference on World Wide Web Companion (WWW Companion Volume), 2015.

F. Petroni and L. Querzoni:
"GASGD: Stochastic Gradient Descent for Distributed Asynchronous Matrix Completion via Graph Partitioning." [pdf] [bib] [presentation][source code][video]
In: Proceedings of the 8th ACM Conference on Recommender Systems (RecSys), 2014.
 
F. Petroni, L. Querzoni, R. Beraldi, M. Paolucci:
"LCBM: Statistics-Based Parallel Collaborative Filtering." [pdf] [bib] [presentation][source code]
In: Proceedings of the 17th International Conference on Business Information Systems (BIS), 2014.
 
F. Petroni and L. Querzoni:
"HSIENA: a hybrid publish/subscribe system." [pdf] [bib] [presentation][source code]
In: Proceedings of the 1st International Workshop on Dependable and Secure Computing for Large-scale Complex Critical Infrastructures (DESEC-LCCI), 2012.

Journal Papers

N. De Cao, L. Wu, K. Popat, M. Artetxe, N. Goyal, M. Plekhanov, L. Zettlemoyer, N. Cancedda, S. Riedel, F. Petroni:
"Multilingual Autoregressive Entity Linking."
In: Transactions of the Association for Computational Linguistics 2022. 
 
L. Massarelli, G. A. Di Luna, F. Petroni, L. Querzoni, R. Baldoni:
"Function Representations for Binary Similarity."
In: IEEE Transactions on Dependable and Secure Computing, 2021. 
 
A. Anagnostopoulos, F. Petroni, M. Sorella:
"Targeted interest-driven advertising in cities using Twitter." [pdf][bib]
In: Data Mining and Knowledge Discovery, Special Issue on Data Mining for Smart Cities, 2017. 
 
F. Petroni, L. Querzoni, R. Beraldi, M. Paolucci:
"Exploiting User Feedback for Online Filtering in Event-based Systems." [pdf][bib]
In: Future Generation Computer Systems (FGCS), 2017.
 
M. Del Vicario, A. Bessi, F. Zollo, F. Petroni, A. Scala, G. Caldarelli, H.E. Stanley, W. Quattrociocchi:
"The spreading of misinformation online." [pdf][bib]
Proceedings of the National Academy of Sciences (PNAS), 2016. 
 
F. Petroni, L. Querzoni, R. Beraldi, M. Paolucci:
"LCBM: Statistics-Based Parallel Collaborative Filtering." [pdf][bib] 
In: Journal of Systems and Software (JSS), 2016.
 
A. Bessi, F. Petroni, M. Del Vicario, F. Zollo, A. Anagnostopoulos, A. Scala, G. Caldarelli, W. Quattrociocchi:
"Homophily and polarization in the age of misinformation." [pdf][bib]
In: The European Physical Journal Special Topics (EPJ-Special Topics), 2016. 

Patents

F. Petroni, N. Raman, A. Nourbakhsh, T. Nugent, L. Carstens, J. Duprey, J. Leidner, S. Shah and Z. Panic:
"Systems and methods for cross-media event detection and coreferencing."
US Patent App. 16/130,390
 
J. L. Leidner, V. Plachouras and F. Petroni:
"Neural paraphrase generator."
US Patent App. 15/979,310

PhD Thesis

F. Petroni:
"Mining at scale with latent factor models for matrix completion."
Sapienza University of Rome, 2016. [pdf][presentation]

Blog Posts

Introducing KILT, a new unified benchmark for knowledge-intensive NLP tasks

Retrieval Augmented Generation: Streamlining the creation of intelligent natural language processing models