🧑‍🔬 Artur d'Avila Garcez

🏛️ Affiliations

🎓City, University of LondonLondon · United Kingdom2002–2026 · 152 papersEmploymentcurrent🎓City St George's, University of LondonLondon · United Kingdom2002–2026 · 37 papersEmployment · Professor, Computer Sciencecurrent🎓St George's, University of LondonLondon · United Kingdom2026 · 1 papercurrent🎓University of LondonLondon · United Kingdom2017–2025 · 19 papersEducation🎓Imperial College LondonLondon · United Kingdom2001–2005 · 5 papersEducation · PhD, Computing🎓University of SienaSiena · Italy2019–2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Logic Tensor Networks (2020 · 276 citations)
   Deep networks learn well from raw data but need a lot of it, generalize poorly outside their training distribution and are hard to interpret.
2. Large Language Models as Oracles for Ontology Alignment (2026 · 4 citations)
   Ontology alignment systems still struggle to produce highly reliable correspondences. Asking human experts to check doubtful mappings helps, but it becomes too costly for large ontologies. The authors test whether an LLM can take over that verification role. They extend the matcher LogMap so that only the mappings it…

All works

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Logic Tensor NetworksArtificial IntelligenceSamy Badreddine, Artur d'Avila Garcez, Luciano Serafini, et al.2020 · 276 citations
2. Neural-Symbolic Learning and Reasoning: A Survey and Interpretation ↗arXiv (Cornell University) · no summary yetTarek R. Besold et al.2017 · 258 citations
3. Logic Tensor Networks for Semantic Image Interpretation ↗International Joint Conference on Artificial Intelligence · no summary yetIvan Donadello, Luciano Serafini, Artur d’Avila Garcez2017 · 188 citations
4. Chapter 1. Neural-Symbolic Learning and Reasoning: A Survey and Interpretation1 ↗Frontiers in artificial intelligence and applications · no summary yetTarek R. Besold et al.2021 · 78 citations
5. Large Language Models as Oracles for Ontology AlignmentConference of the European Chapter of the Association for Computational Linguistics (EACL)Sviatoslav Lushnei, Dmytro Shumskyi, Severyn Shykula, et al.2026 · 4 citations
6. Embedding Normative Reasoning into Neural Symbolic Systems ↗Open Repository and Bibliography (University of Luxembourg) · no summary yetGuido Boella A et al.2011 · 2 citations

Venues

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

• Artificial Intelligence: Artificial Intelligence 2020
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
• Frontiers in artificial intelligence and applications
• International Joint Conference on Artificial Intelligence
• Open Repository and Bibliography (University of Luxembourg)

🔗 Cited by

Papers of our library cite their works 62 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated 1 November 2026

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