Katherine Van Koevering
Large language models are trained on human language — all of it. That means they absorb not just our vocabulary and grammar, but our biases, our behavioral quirks, our social patterns. I study what that means. I’m a postdoctoral researcher at the Johns Hopkins Data Science and AI Institute, working with Anjalie Field in the Field Lab. My research examines how sociolinguistic variation in prompts shapes LLM outputs, why AI systems exhibit distinctly human behavioral patterns, and how humans and AI systems adapt to each other over time. I received my PhD in 2025 from Cornell University, advised by Jon Kleinberg.
Research interests: AI linguistics · LLM behavior · human/AI communication · human-AI co-adaptation · language variation · computational linguistics · network science
news
| May 01, 2025 | Started as a postdoctoral researcher at the Johns Hopkins Data Science and AI Institute, working with Anjalie Field. |
|---|---|
| May 01, 2025 | Defended my PhD at Cornell University. Thanks to my advisor Jon Kleinberg and my committee! |
| Jul 01, 2024 | Two new preprints on arXiv: How Random is Random? Evaluating the Randomness and Humanness of LLMs’ Coin Flips and What’s in a Niche? Migration Patterns in Online Communities. |