News
- 2/2024 - Invited talk on 'SQL and Large Language Models: A Marriage Made in Heaven?' at the SEINE AI Workshop.
- 2/2024 - Our paper 'Similarity Measures For Incomplete Database Instances' has been accepted at EDBT 2024 (pdf) (code).
- 1/2024 - Our paper 'Relational Data Imputation with Graph Neural Networks' has been accepted at EDBT 2024 (pdf) (code).
- 12/2023 - Presented the poster 'A DB-First approach to query factual information in LLMs' and moderated the panel 'Table Representation Learning: Why? Where? How?' at the TRL workshop (NeurIPS'23).
- 11/2023 - The research paper 'Generation of Training Examples for Tabular Natural Language Inference' will be presented at SIGMOD 2024 (pdf) (code).
- Fall/2023 - Talks on 'SQL and Large Language Models: A Marriage Made in Heaven?' at the SAP Predictive Summit, the TUM database group, Aily Labs, Dataiku, Universities of Modena and Bologna, Amadeus Tech Talk.
- 9/2023 - Our vision paper 'Querying Large Language Models with SQL' has been accepted at EDBT 2024 (pdf) (code) (blog post).
- 9/2023 - 'QATCH: Benchmarking Table Representation Learning Models on Your Data' has been accepted at NeurIPS 2023 in the Datasets and Benchmarks Track (code).
- 8/2023 - Distinguished reviewer award at VLDB 2023.
- 8/2023 - We present 'Maximizing Neutrality in News Ordering' at KDD 2023 (video).
- 7/2023 - Talk on 'Querying Large Language Models with SQL' at the Systems group in TU Darmstadt.
- 7/2023 - Course on 'Computational Methods to Counter Online Misinformation' at the 4th ACM Europe Summer School on Data Science.
- 7/2023 - Talk on 'Explainable Fact Checking with Structured Data' at the Athena Research Center.
- 6/2023 - Presented the research paper 'Exploratory Training: When Annotators Learn About Data' and the tutorial 'Models and Practice of Neural Table Representations' (slides) (video) at SIGMOD 2023.
- 4/2023 - Pre-print of the vision paper 'Querying Large Language Models with SQL' available online.
- 3/2023 - Invited talk 'Embeddings for Relational Data Integration' at Symposium on Data-driven Life Cycle Modelling (TU Darmstadt).
- 3/2023 - Demo 'The Community Notes Observatory: Can Crowdsourced Fact-Checking be Trusted in Practice?' accepted at the TheWebConf 2023 (demo) (full paper).
- 2/2023 - Invited talk 'Explainable Fact Checking for Statistical and Temporal Claims' at the AI for Financial Institutions AAAI Bridge.
- 1/2023 - Seminar on 'Explainable Checking for Textual Claims' at Mohammed VI Polytechnic University (UM6P-CS).
- 1/2023 - Invited talk 'Auditing Crowdsourced Fact-Checking at Twitter' at the Content moderation in the age of DSA conference.
- 11/2022 - Invited talk 'Crowdsourced Fact-Checking: Analysis of the Birdwatch Program at Twitter' at the Second CITIES Symposium at NYU Abu Dhabi.
- 11/2022 - New article 'Transformers for Tabular Data Representation: A Survey of Models and Applications' accepted in Transactions of the ACL (TACL).
- 11/2022 - Paper 'Exploratory Training: When Trainers Learn' accepted at the NeurIPS Human in the Loop Learning Workshop.
- 10/2022 - Research paper 'You are my type! Type embeddings for pre-trained language models' accepted at EMNLP 2022 (code)
- 10/2022 - Seminar on 'Explainable Checking for Statistical and Property Claims' at the University of Southampton (WAIS).
- 8/2022 - Research paper 'Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?' accepted at CIKM 2022. We will present this work also a talk at TTO 2022!
- 8/2022 - Research paper 'Data Ambiguity Profiling for the Generation of Training Examples' accepted at ICDE 2023
- 8/2022 - Given tutorial on 'Transformers for Tabular Data Representation: Models and Applications' at VLDB 2022 (slides).
- 7/2022 - Lecture on Computational Fact Checking at the EDBT Summer school INTENDED.
- 7/2022 - Seminar on 'Explainable Checking for Statistical and Property Claims' at the Northeastern DATA Lab.
- 6/2022 - Presented 'Exploratory Training: When Trainers Learn' at the HILDA 2022 Workshop. (video)
- 6/2022 - Research demo 'Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data' got the Best Demo Award at SIGMOD 2022!
- 5/2022 - Presented 'Neural machine Translation for Fact-Checking Temporal Claims' at the 5th Fact Extraction and VERification Workshop.
- 4/2022 - Invited talk 'Explainable Checking for Statistical and Property Claims' at the INRIA Wimmics team.
- 3/2022 - Presented 'Building A Knowledge Graph for Audit Information' at the EcoFinKG Workshop.
- 2/2022 - Research demo 'Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data' accepted at SIGMOD 2022.
- 11/2021 - Research paper on 'Unsupervised Matching of Data and Text' accepted at ICDE 2022.
- 11/2021 - Invited talk 'Explainable Checking for Statistical and Property Claims' at the Act! Sustainable event.
- 11/2021 - Oral presentation of 'RuleBERT: Teaching Soft Rules to Pre-Trained Language Models' at EMNLP 2021. (code)
- 10/2021 - Presented Coronacheck at Global Fact 8 fact-checking summit.
- 8/2021 - Panel member of the 'Data Preparation for ML' roundtable at VLDB 2021 conference.
- 6/2021 - Distinguished reviewer award at SIGMOD 2021.
- 6/2021 - Invited talk at Conference Internationale sur les Fake News on 'Explainable Checking for Statistical and Property Claims'.
- 4/2021 - Invited talk 'Computational fact checking is real, but will it stop misinformation?' at the Workshop on Misinformation Integrity in Social Networks' (@TheWebConf).
- 4/2021 - Survey on 'Automated Fact-Checking for Assisting Human Fact-Checkers' accepted at IJCAI2021.
- 3/2021 - Keynote on 'Data Challenges in Disinformation Diffusion Analysis' at the Processing Information Ethically workshop.
- 2/2021 - Research paper on 'Few-shot Knowledge Validation using Rules' accepted at TheWebConf 2021.
- 10/2020 - Best demo award at BDA 2020 for our fact checking system Scrutinizer.
- 9/2020 - Keynote talk at DEXA 2020 on 'Explainable Checking for Statistical and Property Claims'.
- 9/2020 - New funding from Google.org to extend our factchecking systems to fight COVID-19 misinformation.
- 8/2020 - A IFCN/YouTube grant will support our work on fact checking COVID-19 claims.
- 7/2020 - Our work on ``Scrutinizer: a mixed-initiative approach to large-scale, data-driven claim verification" has been accepted as full research paper (and as a demo) at VLDB 2020 (video).
- 6/2020 - Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks has been presented as full research paper at SIGMOD 2020 (video)
- 6/2020 - ``RuleHub: a Public Corpus of Rules for Knowledge Graphs'' has been accepted in a special issue of ACM JDIQ (paper).
- 5/2020 - Given an IMT Webinar on 'Explainable Checking for Statistical and Property Claims'.
- 4/2020 - Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks has been accepted as full research paper at SIGMOD 2020 (video)
- 3/2020 - We start our fact checking system for coronavirus claims: CoronaCheck.
- 3/2020 - A Google Faculty Research Award will support our work on explainable fact checking.
- 2/2020 - Our work on ``User-driven Error Detection for Time Series with Events" has been accepted as full research paper at ICDE 2020.
- 10/2019 - Two journal articles accepted for publication ``Cleaning data with Llunatic'' in the VLDB Journal and ``Mining Expressive Rules in Knowledge Graphs'' in the ACM JDIQ.
- 9/2019 - Sigmod Record blog post on the role of AI in the Future of Work - short report from the Shonan meeting "Human-in-the-loop Big Data and AI: Connecting Theories and Practices for a Better Future of Work".
- 9/2019 - I will present our fact checking work at the upcoming Global Forum on AI for Humanity.
- 9/2019 - Online pre-print of our work on Local Embeddings for Relational Data Integration.
- 9/2019 - I attended the 154th Shonan Meeting on Human-in-the-loop Big Data and AI: Connecting Theories and Practices for a Better Future of Work.
- 8/2018 - Distinguished reviewer award at VLDB 2019.
- 8/2019 - Our work on benchmarking fact checking algorithms has been accepted for publication as full research paper in CIKM 2019.
- 7/2019 - Our paper on Explainable Fact Checking will be presented at TTO 2019.
- 6/2019 - Looking for a motivated PhD student to work on data quality.
- 6/2019 - Online pre-print of our work on Explainable Fact Checking.
- 6/2019 - Invited talk at the INRIA GraphIK team on ``Robust Discovery of Positive and Negative Rules in Knowledge-Bases".
- 5/2019 - ``Buckle: Evaluating Fact Checking Algorithms Built on Knowledge Bases'' will be demonstrated at VLDB 2019.
- 4/2019 - Successfully defended my HDR thesis.
- 1/2019 - Our paper on data transformation reuse (in collaboration with Banca d'Italia and Roma Tre University) has been accepted for publication in PVLDB.
- 12/2018 - Online the website for the upcoming workshop ``International Workshop on Misinformation, Computational Fact-Checking and Credible Web''.
- 9/2018 - Distinguished reviewer award at VLDB 2018.
- 7/2018 - ANR-JCJC Grant Award: "Effective Inference of Cleaning Programs from Data Annotations".
- 6/2018 - Granted a Futur & Ruptures thses d'excellence: "AutoClean: Automatic Methods for Data Cleaning".
- 4/2018 - Looking for a motivated PhD student.
- 2/2018 - ``Towards a Benchmark for Fact Checking with Knowledge Bases'' has been accepted as a short research paper at the Reasoning on Data Workshop (WWW2018).
- 2/2018 - Post on the ACM SIGMOD Blog on Data Systems and Machine Learning.
- 2/2018 - ''Robust Discovery of Positive and Negative Rules in Knowledge-Bases'' has been accepted as a full research paper at ICDE 2018.
- 12/2017 - Invited talk at the DaQuaTa International Workshop on ``Robust Discovery of Positive and Negative Rules in Knowledge-Bases".
- 11/2017 - Call for papers for WebDB 2018 is out (deadline Feb 25th).
- 11/2017 - Short paper ``Query-limited Black-box Attacks to Classifiers'' accepted at MLSec workshop (co-located NIPS 2017).
- 10/2017 - Research paper ``Synthesizing Entity Matching Rules by Examples'' accepted at VLDB 2018.
- 9/2017 - Book chapter ``Schema Mappings: From Data Translation to Data Cleaning''.