Fabio Petroni

Orcid: 0009-0005-5996-9830

According to our database1, Fabio Petroni authored at least 54 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Improving Wikipedia verifiability with AI.
Nat. Mac. Intell., October, 2023

Atlas: Few-shot Learning with Retrieval Augmented Language Models.
J. Mach. Learn. Res., 2023

CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN.
Discov. Artif. Intell., 2023

Lost in the Middle: How Language Models Use Long Contexts.
CoRR, 2023

PEER: A Collaborative Language Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Can discrete information extraction prompts generalize across language models?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Can Machines Discover New Knowledge?
Proceedings of the Workshop on Enterprise Knowledge Graphs using Large Language Models (EKG-LLM 2023) co-located with 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), 2023

2022
Function Representations for Binary Similarity.
IEEE Trans. Dependable Secur. Comput., 2022

Multilingual Autoregressive Entity Linking.
Trans. Assoc. Comput. Linguistics, 2022

EditEval: An Instruction-Based Benchmark for Text Improvements.
CoRR, 2022

Entity Tagging: Extracting Entities in Text Without Mention Supervision.
CoRR, 2022

Few-shot Learning with Retrieval Augmented Language Models.
CoRR, 2022

Improving Wikipedia Verifiability with AI.
CoRR, 2022

Autoregressive Search Engines: Generating Substrings as Document Identifiers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Boosted Dense Retriever.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

GenIE: Generative Information Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning To Recognize Procedural Activities with Distant Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Open Vocabulary Extreme Classification Using Generative Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus.
CoRR, 2021

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

KILT: a Benchmark for Knowledge Intensive Language Tasks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Concept Matching for Low-Resource Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021

Autoregressive Entity Retrieval.
Proceedings of the 9th International Conference on Learning Representations, 2021

Multi-Task Retrieval for Knowledge-Intensive Tasks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Memory Efficient Baseline for Open Domain Question Answering.
CoRR, 2020

KILT: a Benchmark for Knowledge Intensive Language Tasks.
CoRR, 2020


Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scalable Zero-shot Entity Linking with Dense Entity Retrieval.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

How Decoding Strategies Affect the Verifiability of Generated Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Generating Fact Checking Briefs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

How Context Affects Language Models' Factual Predictions.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019
Zero-shot Entity Linking with Dense Entity Retrieval.
CoRR, 2019

Language Models as Knowledge Bases?
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

SAFE: Self-Attentive Function Embeddings for Binary Similarity.
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2019

An On-Chain Method for Automatic Entitlement Management Using Blockchain Smart Contracts.
Proceedings of the Business Information Systems Workshops, 2019

2018
Targeted interest-driven advertising in cities using Twitter.
Data Min. Knowl. Discov., 2018

Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks.
CoRR, 2018

A Comparison of Two Paraphrase Models for Taxonomy Augmentation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

An Extensible Event Extraction System With Cross-Media Event Resolution.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Exploiting user feedback for online filtering in event-based systems.
Future Gener. Comput. Syst., 2017

A comparison of classification models for natural disaster and critical event detection from news.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
LCBM: a fast and lightweight collaborative filtering algorithm for binary ratings.
J. Syst. Softw., 2016

2015
Echo chambers in the age of misinformation.
CoRR, 2015

Everyday the Same Picture: Popularity and Content Diversity.
CoRR, 2015

Viral Misinformation: The Role of Homophily and Polarization.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

CORE: Context-Aware Open Relation Extraction with Factorization Machines.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

HDRF: Stream-Based Partitioning for Power-Law Graphs.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

LCBM: Statistics-Based Parallel Collaborative Filtering.
Proceedings of the Business Information Systems - 17th International Conference, 2014

2012
HSIENA: A Hybrid Publish/Subscribe System.
Proceedings of the Computer Safety, Reliability, and Security, 2012


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