Elamur Research⌕
☰
home / authors / Alan Schelten

Alan Schelten

Alan Schelten has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining, Evaluation & benchmarks; often with Anthony Hartshorn, Cheng Zhang, Nicola Cancedda.

3 papers in our library · 2024–2025

OpenAlex · h-index 3 · 8 works · 2,620 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 14,809 times in our library · ⭐ Paper Stars ranking: #414

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

🎓Hong Kong University of Science and TechnologyHong Kong · China2025 · 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Large language models · 1 work

 Works by year

2020s

20252 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The Llama 3 Herd of Models (2024 · 7,682 citations)
    The paper describes Llama 3, a family of foundation language models from Meta. Out of the box, they can work with multiple languages, write code, reason, and call external tools. The authors improved the models along three directions: more and cleaner data, larger scale, and simpler architecture and training.…
  2. HalluLens: LLM Hallucination Benchmark (2025 · 82 citations)
    Research on LLM hallucination lacks a shared framework: definitions differ between benchmarks, and hallucination is often treated as the same thing as factuality.
  3. Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations (2025 · 11 citations)
    Large language models often state wrong answers in a confident tone, which leads users to trust them too much.

 Co-authors here

9 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 14,809 times (of the 149,439 papers whose bibliographies we read); 2,394 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/alan-schelten/