Fabio Petroni

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 74

Top Topics

Information Extraction

Top Venues

Publications

Fabio Petroni
Can Machines Discover New Knowledge? EKG-LLM@CIKM (2023)
Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang
Lost in the Middle: How Language Models Use Long Contexts. CoRR (2023)
Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni
Can discrete information extraction prompts generalize across language models? ICLR (2023)
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 (2023)
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) (2023)
Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni
Can discrete information extraction prompts generalize across language models? CoRR (2023)
Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
PEER: A Collaborative Language Model. ICLR (2023)
Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics 10 (2022)
Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis, Wen-tau Yih, Sebastian Riedel, Fabio Petroni
Autoregressive Search Engines: Generating Substrings as Document Identifiers. CoRR (2022)
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
Improving Wikipedia Verifiability with AI. CoRR (2022)
Gautier Izacard, Patrick 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 (2022)
Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni
EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR (2022)
Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
PEER: A Collaborative Language Model. CoRR (2022)
Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
Function Representations for Binary Similarity. IEEE Trans. Dependable Secur. Comput. 19 (4) (2022)
Daniel Simig, Fabio Petroni, Pouya Yanki, Kashyap Popat, Christina Du, Sebastian Riedel, Majid Yazdani
Open Vocabulary Extreme Classification Using Generative Models. CoRR (2022)
Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani
Learning To Recognize Procedural Activities with Distant Supervision. CoRR (2022)
Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. EMNLP (2022)
Daniel Simig, Fabio Petroni, Pouya Yanki, Kashyap Popat, Christina Du, Sebastian Riedel, Majid Yazdani
Open Vocabulary Extreme Classification Using Generative Models. ACL (Findings) (2022)
Christina Du, Kashyap Popat, Louis Martin, Fabio Petroni
Entity Tagging: Extracting Entities in Text Without Mention Supervision. CoRR (2022)
Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. ACL (Findings) (2022)
Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. CoRR (2022)
Martin Josifoski, Nicola De Cao, Maxime Peyrard, Fabio Petroni, Robert West
GenIE: Generative Information Extraction. NAACL-HLT (2022)
Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani
Learning To Recognize Procedural Activities with Distant Supervision. CVPR (2022)
Michele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Scott Yih, Sebastian Riedel, Fabio Petroni
Autoregressive Search Engines: Generating Substrings as Document Identifiers. NeurIPS (2022)
Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel
Boosted Dense Retriever. NAACL-HLT (2022)
Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
Multi-Task Retrieval for Knowledge-Intensive Tasks. ACL/IJCNLP (1) (2021)
Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. NeurIPS Datasets and Benchmarks (2021)
Federico Errica, Fabrizio Silvestri, Bora Edizel, Ludovic Denoyer, Fabio Petroni, Vassilis Plachouras, Sebastian Riedel
Concept Matching for Low-Resource Classification. IJCNN (2021)
Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni
Autoregressive Entity Retrieval. ICLR (2021)
Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
Multilingual Autoregressive Entity Linking. CoRR (2021)
Giorgio Barnabò, Giovanni Trappolini, Lorenzo Lastilla, Cesare Campagnano, Angela Fan, Fabio Petroni, Fabrizio Silvestri
CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN. CoRR (2021)
Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel
Boosted Dense Retriever. CoRR (2021)
Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. CoRR (2021)
Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. CoRR (2021)
Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. CoRR (2021)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR (2021)
Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
Multi-task Retrieval for Knowledge-Intensive Tasks. CoRR (2021)
Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT (2021)
Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer
Scalable Zero-shot Entity Linking with Dense Entity Retrieval. EMNLP (1) (2020)
Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
KILT: a Benchmark for Knowledge Intensive Language Tasks. CoRR (2020)
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR (2020)
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS (2020)
Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
How Context Affects Language Models' Factual Predictions. AKBC (2020)
Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave
A Memory Efficient Baseline for Open Domain Question Answering. CoRR (2020)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) (2020)
Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
How Context Affects Language Models' Factual Predictions. CoRR (2020)
Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel
Generating Fact Checking Briefs. EMNLP (1) (2020)
Bruno Korbar, Fabio Petroni, Rohit Girdhar, Lorenzo Torresani
Video Understanding as Machine Translation. CoRR (2020)
Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni
Autoregressive Entity Retrieval. CoRR (2020)
Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
How Decoding Strategies Affect the Verifiability of Generated Text. EMNLP (Findings) (2020)
Federico Errica, Ludovic Denoyer, Bora Edizel, Fabio Petroni, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
Concept Matching for Low-Resource Classification. CoRR (2020)
Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel
Generating Fact Checking Briefs. CoRR (2020)
Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer
Zero-shot Entity Linking with Dense Entity Retrieval. CoRR (2019)
Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Roberto Baldoni, Leonardo Querzoni
SAFE: Self-Attentive Function Embeddings for Binary Similarity. DIMVA (2019)
Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
How Decoding Strategies Affect the Verifiability of Generated Text. CoRR (2019)
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller
Language Models as Knowledge Bases? EMNLP/IJCNLP (1) (2019)
Fabio Petroni, Tim Rocktäschel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
Language Models as Knowledge Bases? CoRR (2019)
Timothy Nugent, Fabio Petroni, Benedict Whittam Smith, Jochen L. Leidner
An On-Chain Method for Automatic Entitlement Management Using Blockchain Smart Contracts. BIS (Workshops) (2019)
Vassilis Plachouras, Fabio Petroni, Timothy Nugent, Jochen L. Leidner
A Comparison of Two Paraphrase Models for Taxonomy Augmentation. NAACL-HLT (2) (2018)
Fabio Petroni, Vassilis Plachouras, Timothy Nugent, Jochen L. Leidner
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines. NAACL-HLT (2018)
Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni
SAFE: Self-Attentive Function Embeddings for Binary Similarity. CoRR (2018)
Fabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner
An Extensible Event Extraction System With Cross-Media Event Resolution. KDD (2018)
Roberto Baldoni, Giuseppe Antonio Di Luna, Luca Massarelli, Fabio Petroni, Leonardo Querzoni
Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks. CoRR (2018)
Aris Anagnostopoulos, Fabio Petroni, Mara Sorella
Targeted interest-driven advertising in cities using Twitter. Data Min. Knowl. Discov. 32 (3) (2018)
Fabio Petroni, Leonardo Querzoni, Roberto Beraldi, Mario Paolucci
Exploiting user feedback for online filtering in event-based systems. Future Gener. Comput. Syst. 71 (2017)
Timothy Nugent, Fabio Petroni, Natraj Raman, Lucas Carstens, Jochen L. Leidner
A comparison of classification models for natural disaster and critical event detection from news. IEEE BigData (2017)
Aris Anagnostopoulos, Fabio Petroni, Mara Sorella
Targeted Interest-Driven Advertising in Cities Using Twitter. ICWSM (2016)
Fabio Petroni, Leonardo Querzoni, Roberto Beraldi, Mario Paolucci
LCBM: a fast and lightweight collaborative filtering algorithm for binary ratings. J. Syst. Softw. 117 (2016)
Fabio Petroni, Leonardo Querzoni, Roberto Beraldi, Mario Paolucci
Exploiting user feedback for online filtering in event-based systems. SAC (2016)
Alessandro Bessi, Fabiana Zollo, Michela Del Vicario, Antonio Scala, Guido Caldarelli, Fabio Petroni, Bruno Gonçalves, Walter Quattrociocchi
Everyday the Same Picture: Popularity and Content Diversity. CoRR (2015)
Michela Del Vicario, Alessandro Bessi, Fabiana Zollo, Fabio Petroni, Antonio Scala, Guido Caldarelli, Harry Eugene Stanley, Walter Quattrociocchi
Echo chambers in the age of misinformation. CoRR (2015)
Fabio Petroni, Luciano Del Corro, Rainer Gemulla
CORE: Context-Aware Open Relation Extraction with Factorization Machines. EMNLP (2015)
Fabio Petroni, Leonardo Querzoni, Khuzaima Daudjee, Shahin Kamali, Giorgio Iacoboni
HDRF: Stream-Based Partitioning for Power-Law Graphs. CIKM (2015)
Alessandro Bessi, Fabio Petroni, Michela Del Vicario, Fabiana Zollo, Aris Anagnostopoulos, Antonio Scala, Guido Caldarelli, Walter Quattrociocchi
Viral Misinformation: The Role of Homophily and Polarization. WWW (Companion Volume) (2015)
Aris Anagnostopoulos, Alessandro Bessi, Guido Caldarelli, Michela Del Vicario, Fabio Petroni, Antonio Scala, Fabiana Zollo, Walter Quattrociocchi
Viral Misinformation: The Role of Homophily and Polarization. CoRR (2014)
Fabio Petroni, Leonardo Querzoni, Roberto Beraldi, Mario Paolucci
LCBM: Statistics-Based Parallel Collaborative Filtering. BIS (2014)
Fabio Petroni, Leonardo Querzoni
GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning. RecSys (2014)
Fabio Petroni, Leonardo Querzoni
HSIENA: A Hybrid Publish/Subscribe System. SAFECOMP Workshops (2012)