Data and Text Analytics Lab
DTALab is a research group at the University of Modena and Reggio Emilia developing trustworthy data-centric AI for heterogeneous data, language models and decision support.
Research focus
Evidence-grounded NLP & LLMs
Grounding language-model reasoning in explicit and verifiable evidence.
Data Integration & Explainable Analytics
Integrating heterogeneous data while making model decisions understandable.
Robust & Auditable AI
Building AI systems that remain reliable, fair and inspectable.
Data Intelligence & Decision Support
Transforming complex tabular and time-series data into actionable knowledge.
Latest Updates
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Gradino accepted at EACL 2027
Read more: Gradino accepted at EACL 2027Our paper “The Non-Relational Blind Spot: Evaluating LLMs on Multi-Table Numerical Reasoning”, by Michele Luca Contalbo, Matteo Paganelli, Paolo Papotti, and Francesco Guerra, has been…
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TabgenQA Wins Best Demo Paper Award at CIKM 2026
Read more: TabgenQA Wins Best Demo Paper Award at CIKM 2026We are pleased to announce that “TabgenQA: A Platform for Non-Relational, Multi-Tabular, Numerical QA Benchmark Generation and LLM Evaluation” has received the Best Demo Paper…
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FactFlip accepted at EMNLP 2026
Read more: FactFlip accepted at EMNLP 2026Our paper “The Trigger Is in the Embedding: Supervision-Free Discovery and Diagnosis of Universal Adversarial Triggers in Fact Verification” has been accepted as a Main…