Angelo Ziletti

12 papers B 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study.
CoRR
Angelo Ziletti, Leonardo D'Ambrosi
2026 — conf
Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs.
EACL (System Demonstrations)
Daniel Steinigen, Roman Teucher, Timm Heine Ruland, Max Rudat, Nicolas Flores-Herr, Peter Fischer, Nikola Milosevic, Christopher Schymura, Angelo Ziletti
2025 J jnl
Generating patient cohorts from electronic health records using two-step retrieval-augmented text-to-SQL generation.
CoRR
Angelo Ziletti, Leonardo D'Ambrosi
2024 J jnl
Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs.
CoRR
Daniel Steinigen, Roman Teucher, Timm Heine Ruland, Max Rudat, Nicolas Flores-Herr, Peter Fischer, Nikola Milosevic, Christopher Schymura, Angelo Ziletti
2024 — conf
Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records.
ClinicalNLP@NAACL
Angelo Ziletti, Leonardo D'Ambrosi
2024 J jnl
Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records.
CoRR
Angelo Ziletti, Leonardo D'Ambrosi
2022 — conf
Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning.
NAACL-HLT (Industry Papers)
Angelo Ziletti, Alan Akbik, Christoph Berns, Thomas Herold, Marion Legler, Martina Viell
2022 J jnl
Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning.
CoRR
Angelo Ziletti, Alan Akbik, Christoph Berns, Thomas Herold, Marion Legler, Martina Viell
2021 B conf
Biomedical Data-to-Text Generation via Fine-Tuning Transformers.
INLG
Ruslan Yermakov, Nicholas Drago, Angelo Ziletti
2021 J jnl
Biomedical Data-to-Text Generation via Fine-Tuning Transformers.
CoRR
Ruslan Yermakov, Nicholas Drago, Angelo Ziletti
2021 J jnl
Discovering Key Topics From Short, Real-World Medical Inquiries via Natural Language Processing.
Frontiers Comput. Sci.
Angelo Ziletti, Christoph Berns, Oliver Treichel, Thomas Weber, Jennifer Liang, Stephanie Kammerath, Marion Schwaerzler, Jagatheswari Virayah, David Ruau, Xin Ma, Andreas Mattern
2020 J jnl
Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning.
CoRR
Angelo Ziletti, Christoph Berns, Oliver Treichel, Thomas Weber, Jennifer Liang, Stephanie Kammerath, Marion Schwaerzler, Jagatheswari Virayah, David Ruau, Xin Ma, Andreas Mattern