--- title: "Eduardo Salinas — author profile and papers in our library" description: "Eduardo Salinas: 2 papers on Elamur Research (2024), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/eduardo-salinas/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/eduardo-salinas/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Eduardo Salinas # Eduardo Salinas Eduardo Salinas has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Adam Fourney](https://md.research.elamur.ai/free/en/authors/adam-fourney/), [Cheng Tan](https://md.research.elamur.ai/free/en/authors/cheng-tan/), [Friederike Niedtner](https://md.research.elamur.ai/free/en/authors/friederike-niedtner/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5114655667) · [**h-index 1**](https://openalex.org/authors/A5114655667) · [1 works](https://openalex.org/works?filter=author.id:A5114655667) · [15 citations](https://openalex.org/works?filter=author.id:A5114655667&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/eduardo-salinas/#papers) · [🔗 Cited 44 times in our library](https://md.research.elamur.ai/free/en/authors/eduardo-salinas/cited-by/) · [⭐ Paper Stars ranking: #9384](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9384) 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=Eduardo+Salinas) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Eduardo+Salinas) · [dblp](https://dblp.org/search?q=Eduardo+Salinas) · [ACL Anthology](https://aclanthology.org/search/?q=Eduardo+Salinas) ## 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).[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/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/eduardo-salinas/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks](https://md.research.elamur.ai/free/en/papers/fourney-2024-magentic-one-generalist-multi/)** *(2024 · 54 citations)* General-purpose AI agents have to handle varied multi-step tasks, such as browsing the web, working with files, and writing and running code, rather than performing well in only one narrow domain. 2. **[Eureka: Evaluating and Understanding Large Foundation Models](https://md.research.elamur.ai/free/en/papers/balachandran-2024-eureka-evaluating-understanding-large-foundation/)** *(2024 · 7 citations)* Evaluating today's large foundation models has become unreliable. Many popular benchmarks are nearly maxed out, measurement setups are rarely disclosed, scoring generative outputs takes complex processing, and leaderboard numbers say little about how models fail. Microsoft Research addresses this with EUREKA, an… ## Co-authors here 11 co-authors with a page, the most papers together first. - [Adam Fourney](https://md.research.elamur.ai/free/en/authors/adam-fourney/) - [Cheng Tan](https://md.research.elamur.ai/free/en/authors/cheng-tan/) - [Friederike Niedtner](https://md.research.elamur.ai/free/en/authors/friederike-niedtner/) - [Gagan Bansal](https://md.research.elamur.ai/free/en/authors/gagan-bansal/) - [Grace Proebsting](https://md.research.elamur.ai/free/en/authors/grace-proebsting/) - [Hamid Palangi](https://md.research.elamur.ai/free/en/authors/hamid-palangi/) - [Hussein Mozannar](https://md.research.elamur.ai/free/en/authors/hussein-mozannar/) - [Neel Joshi](https://md.research.elamur.ai/free/en/authors/neel-joshi/) - [Peter Chang](https://md.research.elamur.ai/free/en/authors/peter-chang/) - [Vibhav Vineet](https://md.research.elamur.ai/free/en/authors/vibhav-vineet/) - [Vidhisha Balachandran](https://md.research.elamur.ai/free/en/authors/vidhisha-balachandran/) ## Cited by Papers of our library cite their works 44 times (of the 149,439 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/eduardo-salinas/cited-by/). Updated 3 November 2026