Peter Chang

Peter Chang has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Adam Fourney, Cheng Tan, Eduardo Salinas.

2 papers in our library · 2023–2024

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.
Privacy Issues in Large Language Models: A Survey (2023 · 30 citations)
This survey maps the technical research on privacy risks in Large Language Models. It deliberately leaves legal and policy scholarship aside, though it uses regulation to frame the problems: the US White House Executive Order on AI, the FTC's July 2023 investigation of OpenAI, and the GDPR "Right to Erasure."

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

Papers of our library cite their works 61 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated 3 November 2026