Stanford Open Virtual Assistant Lab (OVAL)

AI & ML interests

We build LLM-Augmented Cognition Systems (LLM-CSys) that combine the expressive language skills of LLMs with the interpretability and reliability of software systems. We connect LLMs with databases, compilers, and executive functions to create assistants that are more trustworthy and helpful.

Papers

Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models

CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition

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Team members 4