--- title: "Daniel Preoţiuc-Pietro — author profile and papers in our library" description: "Daniel Preoţiuc-Pietro: 2 papers on Elamur Research (2016–2022) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/daniel-preotiuc-pietro/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/daniel-preotiuc-pietro/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Daniel Preoţiuc-Pietro # Daniel Preoţiuc-Pietro Daniel Preoţiuc-Pietro has 2 papers in our library, in 2016–2022, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/); often with [Dimitrios Tsarapatsanis](https://md.research.elamur.ai/free/en/authors/dimitrios-tsarapatsanis/), [Nikolaos Aletras](https://md.research.elamur.ai/free/en/authors/nikolaos-aletras/), [Pengxiang Cheng](https://md.research.elamur.ai/free/en/authors/pengxiang-cheng/). 2 papers in our library · 2016–2022 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/daniel-preotiuc-pietro/#papers) · [🔗 Cited 254 times in our library](https://md.research.elamur.ai/free/en/authors/daniel-preotiuc-pietro/cited-by/) · [⭐ Paper Stars ranking: #2573](https://md.research.elamur.ai/free/en/paper-stars/page/26/#star-2573) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Daniel+Preo%C5%A3iuc-Pietro) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daniel+Preo%C5%A3iuc-Pietro) · [dblp](https://dblp.org/search?q=Daniel+Preo%C5%A3iuc-Pietro) · [ACL Anthology](https://aclanthology.org/search/?q=Daniel+Preo%C5%A3iuc-Pietro) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Law · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) 🧭 Topics 2 Research subjects and languages the work is about.[Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/daniel-preotiuc-pietro/year/2022/) ### 2010s [**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/daniel-preotiuc-pietro/year/2016/) ## Papers The most cited first (OpenAlex and our library). 1. **[Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective](https://md.research.elamur.ai/free/en/papers/aletras-2016-predicting-judicial-decisions-european/)** *(2016 · 972 citations)* The paper asks whether the outcome of a case before the European Court of Human Rights (ECtHR) can be forecast from text alone. 2. **[Dataless Knowledge Fusion by Merging Weights of Language Models](https://md.research.elamur.ai/free/en/papers/jin-2022-dataless-knowledge-fusion-merging-weights/)** *(2022 · 101 citations)* Many fine-tuned language models are published while the labeled data behind them stays private, which rules out multi-task learning as a way to combine what they know. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Dimitrios Tsarapatsanis](https://md.research.elamur.ai/free/en/authors/dimitrios-tsarapatsanis/) - [Nikolaos Aletras](https://md.research.elamur.ai/free/en/authors/nikolaos-aletras/) - [Pengxiang Cheng](https://md.research.elamur.ai/free/en/authors/pengxiang-cheng/) - [Xiang Ren](https://md.research.elamur.ai/free/en/authors/xiang-ren/) - [Xisen Jin](https://md.research.elamur.ai/free/en/authors/xisen-jin/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [PeerJ Computer Science](https://md.research.elamur.ai/free/en/venues/peerj-computer-science/): [PeerJ Computer Science 2016](https://md.research.elamur.ai/free/en/venues/peerj-computer-science/2016/) ## Cited by Papers of our library cite their works 254 times (of the 149,439 papers whose bibliographies we read); [37 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/daniel-preotiuc-pietro/cited-by/). Updated 2 November 2026