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Luciano Del Corro

Luciano Del Corro has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Knowledge graphs & ontologies; often with Arindam Mitra, Hamid Palangi, Kriti Aggarwal.

3 papers in our library · 2023–2026

OpenAlex · h-index 1 · 13 works · 9 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 132 times in our library · ⭐ Paper Stars ranking: #6052

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 San AndrésVictoria · Argentina2026 · 4 paperscurrent

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.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 workInformation retrieval & search · 1 workKnowledge graphs & ontologies · 1 work

 Works by year

2020s

20262 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Orca 2: Teaching Small Language Models How to Reason (2023 · 162 citations)
    Small language models (below roughly 10B parameters) typically trail frontier LLMs in zero-shot reasoning.
  2. A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass Classification (2026)
    Deployed LLM services usually run extra classifiers, such as guard models for safety, alongside the main model.
  3. Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval (2026)
    Retrieving evidence from knowledge graphs (KGs) for language model queries requires two things at once. The retriever must search widely enough to land in the right part of the graph, and it must follow relational links over several hops. Similarity-based retrievers cover the graph but rarely reason over its…

 Co-authors here

5 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 132 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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