--- title: "Lukas Haas — author profile and papers — Elamur Research" description: "Lukas Haas: 2 papers on Elamur Research (2025), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/lukas-haas/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lukas-haas/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lukas Haas # Lukas Haas Lukas Haas has 2 papers in our library, in 2025, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Alon Jacovi](https://md.research.elamur.ai/free/en/authors/alon-jacovi/), [Andrew Wang](https://md.research.elamur.ai/free/en/authors/andrew-wang/), [Chris Alberti](https://md.research.elamur.ai/free/en/authors/chris-alberti/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5030647147) · [ORCID](https://orcid.org/0000-0002-0991-0583) · [**h-index 3**](https://openalex.org/authors/A5030647147) · [7 works](https://openalex.org/works?filter=author.id:A5030647147) · [95 citations](https://openalex.org/works?filter=author.id:A5030647147&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lukas-haas/#papers) · [🔗 Cited 41 times in our library](https://md.research.elamur.ai/free/en/authors/lukas-haas/cited-by/) · [⭐ Paper Stars ranking: #7974](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7974) 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=Lukas+Haas) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lukas+Haas) · [dblp](https://dblp.org/search?q=Lukas+Haas) · [ACL Anthology](https://aclanthology.org/search/?q=Lukas+Haas) ## Affiliations [🏢**Google** Mountain View · United States 2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Stanford University** Stanford · United States 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/lukas-haas/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input](https://md.research.elamur.ai/free/en/papers/jacovi-2025-facts-grounding-leaderboard-benchmarking-llms/)** *(2025 · 32 citations)* The paper presents FACTS Grounding, a benchmark and Kaggle-hosted leaderboard from Google DeepMind, Google Research, Google Cloud and Kaggle. 2. **[SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge](https://md.research.elamur.ai/free/en/papers/haas-2025-simpleqa-verified-reliable-factuality-benchmark/)** *(2025 · 12 citations)* OpenAI's SimpleQA became a standard test of whether LLMs can recall short facts from their own weights. It has flaws, though. Some reference answers are wrong, individual raters contributed clusters of near-identical questions, and dates, person names and science/technology topics dominate. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Alon Jacovi](https://md.research.elamur.ai/free/en/authors/alon-jacovi/) - [Andrew Wang](https://md.research.elamur.ai/free/en/authors/andrew-wang/) - [Chris Alberti](https://md.research.elamur.ai/free/en/authors/chris-alberti/) - [Dipanjan Das](https://md.research.elamur.ai/free/en/authors/dipanjan-das/) - [Gal Yona](https://md.research.elamur.ai/free/en/authors/gal-yona/) - [Kate Olszewska](https://md.research.elamur.ai/free/en/authors/kate-olszewska/) ## Cited by Papers of our library cite their works 41 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lukas-haas/cited-by/). Updated 30 October 2026