Dr. Sarah Chen
Associate Professor of Computer Science
Stanford University
My research focuses on natural language processing, machine learning, and the intersection of language understanding with knowledge representation.
About Me
I am an Associate Professor of Computer Science at Stanford University, where I direct the Language Intelligence Lab (LIL). My research lies at the intersection of natural language processing, machine learning, and knowledge representation, with a focus on building systems that can understand, reason about, and generate human language in robust and trustworthy ways.
Before joining Stanford, I was a postdoctoral researcher at MIT CSAIL working with Prof. Regina Barzilay. I received my PhD from Carnegie Mellon University in 2016, where I was advised by Prof. Noah Smith. My thesis on structured prediction for semantic parsing received the ACL Best Dissertation Award.
Research Interests
- Large Language Models — alignment, reasoning, and factuality
- Semantic Parsing — mapping natural language to executable representations
- Knowledge Graphs — extraction, completion, and integration with LLMs
- Multilingual NLP — cross-lingual transfer and low-resource languages
- Trustworthy AI — interpretability, robustness, and fairness in NLP systems
Recent News
- Mar 2026 — Our paper "Faithful Chain-of-Thought Reasoning via Semantic Entailment" was accepted to ACL 2026.
- Jan 2026 — Received the NSF CAREER Award for research on trustworthy language generation.
- Dec 2025 — Invited keynote at NeurIPS 2025 Workshop on Reliable AI.
- Oct 2025 — Two papers accepted to EMNLP 2025 (one Oral).
- Sep 2025 — Welcome to three new PhD students joining the lab this fall!