--- title: "Federico Ranaldi — author profile and papers · Reasoning" description: "Federico Ranaldi, University of Rome Tor Vergata: 5 papers on Elamur Research (2025–2026), h-index 3 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/federico-ranaldi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/federico-ranaldi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Federico Ranaldi # Federico Ranaldi Federico Ranaldi has 5 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Leonardo Ranaldi](https://md.research.elamur.ai/free/en/authors/leonardo-ranaldi/), [Fabio Massimo Zanzotto](https://md.research.elamur.ai/free/en/authors/fabio-massimo-zanzotto/), [Giulia Pucci](https://md.research.elamur.ai/free/en/authors/giulia-pucci/). 5 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5060661871) · [ORCID](https://orcid.org/0000-0002-0925-6286) · [**h-index 3**](https://openalex.org/authors/A5060661871) · [19 works](https://openalex.org/works?filter=author.id:A5060661871) · [23 citations](https://openalex.org/works?filter=author.id:A5060661871&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/federico-ranaldi/#papers) · [🔗 Cited 37 times in our library](https://md.research.elamur.ai/free/en/authors/federico-ranaldi/cited-by/) · [⭐ Paper Stars ranking: #8089](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8089) 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=Federico+Ranaldi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Federico+Ranaldi) · [dblp](https://dblp.org/search?q=Federico+Ranaldi) · [ACL Anthology](https://aclanthology.org/search/?q=Federico+Ranaldi) ## Affiliations [🎓**University of Rome Tor Vergata** Rome · Italy 2022–2026 · 13 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-rome-tor-vergata/) · [🎓**University of Edinburgh** Edinburgh · United Kingdom 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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 · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 5 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Multilingual & cross-lingual NLP · 3 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/federico-ranaldi/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/federico-ranaldi/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/valentino-2026-semeval-2026-task-11-disentangling/)** *(2026 · 22 citations)* This shared task asks whether large language models can judge if an argument is logically valid without being swayed by whether its content sounds true. 2. **[Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations](https://md.research.elamur.ai/free/en/papers/ranaldi-2025-improving-multilingual-retrieval-augmented-language/)** *(2025 · 12 citations)* Retrieval-augmented generation helps LLMs draw on external facts. In multilingual retrieval, however, the returned documents often disagree, are off-topic, or present different national perspectives, and standard RAG pipelines do not judge their quality. The authors propose Dialectic-RAG (D-RAG), which asks the model… 3. **[R2-MultiOmnia: Leading Multilingual Multimodal Reasoning via Self-Training](https://md.research.elamur.ai/free/en/papers/ranaldi-2025-r2-multiomnia-leading-multilingual-multimodal/)** *(2025 · 6 citations)* Multimodal LLMs (MLLMs) reason less reliably outside English because high-quality multilingual supervision is scarce. 4. **[Agentic Oversight via Dialectic Reasoning](https://md.research.elamur.ai/free/en/papers/ranaldi-2026-agentic-oversight-dialectic-reasoning/)** *(2026)* The paper asks how weaker models can reliably supervise stronger LLMs. Debate is a known answer, but it offers little verifiable justification for its verdicts and has rarely been tested beyond English text. The authors propose an Agentic Oversight framework built on Dialectic Argumentation. First, they collect an… 5. **[Thinking in Schemas: Robust Syllogistic Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/ranaldi-2026-thinking-schemas-robust-syllogistic-reasoning/)** *(2026)* Large language models often accept an argument because its conclusion seems believable, even when the logic does not support it. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Leonardo Ranaldi](https://md.research.elamur.ai/free/en/authors/leonardo-ranaldi/) ×5 - [Fabio Massimo Zanzotto](https://md.research.elamur.ai/free/en/authors/fabio-massimo-zanzotto/) ×2 - [Giulia Pucci](https://md.research.elamur.ai/free/en/authors/giulia-pucci/) ×2 - [Alexandra Birch](https://md.research.elamur.ai/free/en/authors/alexandra-birch/) - [André Freitas](https://md.research.elamur.ai/free/en/authors/andre-freitas/) - [Barry Haddow](https://md.research.elamur.ai/free/en/authors/barry-haddow/) - [Marco Valentino](https://md.research.elamur.ai/free/en/authors/marco-valentino/) - [Shay B. Cohen](https://md.research.elamur.ai/free/en/authors/shay-b-cohen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/) ## Cited by Papers of our library cite their works 37 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/federico-ranaldi/cited-by/). Updated 1 November 2026