Eduardo Salinas

Eduardo Salinas has 2 papers in our library, in 2024, most of them on Language models & pretraining; often with Adam Fourney, Cheng Tan, Friederike Niedtner.

2 papers in our library · 2024

The profile is the library's match of the name; two people with one name are not always told apart.

Fields, topics and concepts

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

The most cited first (OpenAlex and our library).

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks (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.
Eureka: Evaluating and Understanding Large Foundation Models (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…

11 co-authors with a page, the most papers together first.

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 →.

Updated 3 November 2026