Petroni, Fabio
Samaya AI, London, United Kingdom
16 papers on CoChatORCID 0009-0005-5996-9830
Most cited papers
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-T., Rocktäschel, T., et al. (2020) · arXiv
Safety Systems Engineering in AutonomyEthics and Social Impacts of AI
Cited by 3,101
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The spreading of misinformation online
Del Vicario, M., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., Stanley, H. E., & Quattrociocchi, W. (2016) · Proceedings of the National Academy of Sciences
Misinformation and Its ImpactsComplex Network Analysis Techniques
Cited by 2,407
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Language Models as Knowledge Bases?
Petroni, F., Rocktäschel, T., Riedel, S., Lewis, P., Bakhtin, A., Wu, Y., & Miller, A. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Topic ModelingNatural Language Processing Techniques
Cited by 1,834
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Lost in the Middle: How Language Models Use Long Contexts
Liu, N. F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., & Liang, P. (2024) · Transactions of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 1,612
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Lost in the Middle: How Language Models Use Long Contexts
Liu, N. F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., & Liang, P. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1,599
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KILT: a Benchmark for Knowledge Intensive Language Tasks
Petroni, F., Piktus, A., Fan, A., Lewis, P., Yazdani, M., De Cao, N., Thorne, J., Jernite, Y., Karpukhin, V., Maillard, J., et al. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Topic ModelingNatural Language Processing Techniques
Cited by 357
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Atlas: Few-shot Learning with Retrieval Augmented Language Models
Izacard, G., Lewis, P., Lomeli, M., Hosseini, L., Petroni, F., Schick, T., Dwivedi-Yu, J., Joulin, A., Riedel, S., & Grave, E. (2022) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 213
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How Context Affects Language Models' Factual Predictions
Petroni, F., Lewis, P., Piktus, A., Rocktäschel, T., Wu, Y., Miller, A. H., & Riedel, S. (2020) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 154
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Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Logan IV, R., Balazevic, I., Wallace, E., Petroni, F., Singh, S., & Riedel, S. (2022) · Findings of the Association for Computational Linguistics: ACL 2022
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 133
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Homophily and polarization in the age of misinformation
Bessi, A., Petroni, F., Vicario, M. D., Zollo, F., Anagnostopoulos, A., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2016) · The European Physical Journal Special Topics
Misinformation and Its ImpactsComplex Network Analysis Techniques
Cited by 114
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Autoregressive Search Engines: Generating Substrings as Document Identifiers
Bevilacqua, M., Ottaviano, G., Lewis, P., Yih, W.-T., Riedel, S., & Petroni, F. (2022) · arXiv
Algorithms and Data CompressionInformation Retrieval and Search Behavior
Cited by 80
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PEER: A Collaborative Language Model
Schick, T., Dwivedi-Yu, J., Jiang, Z., Petroni, F., Lewis, P., Izacard, G., You, Q., Nalmpantis, C., Grave, E., & Riedel, S. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 49
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Generating fact checking briefs
Fan, A., Piktus, A., Petroni, F., Wenzek, G., Saeidi, M., Vlachos, A., Bordes, A., & Riedel, S. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Misinformation and Its ImpactsTopic Modeling
Cited by 42
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The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus
Piktus, A., Petroni, F., Karpukhin, V., Okhonko, D., Broscheit, S., Izacard, G., Lewis, P., Oğuz, B., Grave, E., Yih, W.-T., et al. (2021) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 22
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MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Samvelyan, M., Kirk, R., Kurin, V., Parker-Holder, J., Jiang, M., Hambro, E., Petroni, F., Küttler, H., Grefenstette, E., & Rocktäschel, T. (2021) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 20
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IR-RAG @SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems
Arabzadeh, N., Chen, Z., Petroni, F., Siciliano, F., Silvestri, F., & Trappolini, G. (2025) · Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval
Information Retrieval and Search BehaviorTopic Modeling
Cited by 4
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