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Federico Ranaldi

Federico Ranaldi has 5 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining, Multilingual & cross-lingual NLP; often with Leonardo Ranaldi, Fabio Massimo Zanzotto, Giulia Pucci.

5 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 3 · 19 works · 23 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 37 times in our library · ⭐ Paper Stars ranking: #8089

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of Rome Tor VergataRome · Italy2022–2026 · 13 paperscurrent🎓University of EdinburghEdinburgh · United Kingdom2026 · 2 paperscurrent

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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 5Research subjects and languages the work is about.Reasoning · 5 worksMultilingual & cross-lingual NLP · 3 worksLanguage models & pretraining · 3 worksInformation retrieval & search · 1 workVision & language · 1 work

 Works by year

2020s

20263 papers20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Large Language Models (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 (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 (2025 · 6 citations)
    Multimodal LLMs (MLLMs) reason less reliably outside English because high-quality multilingual supervision is scarce.
  4. Agentic Oversight via 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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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