USC NLP is a community of researchers in the Thomas Lord Department of Computer Science at the University of Southern California, working on natural language processing, machine learning, and artificial intelligence. Our labs focus on areas including knowledge discovery, grounded language understanding, robust NLP, data-centric AI, and trustworthy language models.
Intelligence and Knowledge Discovery Lab. Research on next-generation machine intelligence techniques for label-efficient machine learning, knowledge-guided NLP, and knowledge reasoning.
Associate Professor
AI, Language, Learning, Generalization, and Robustness. Building reliable NLP systems and understanding how they work, when they fail, and how they can be improved.
Assistant Professor
Grounding Language in Actions, Multimodality, and Robotic interaction. Connecting language to agent perception and action, and lifelong learning through interaction.
Assistant Professor
Data, Interpretability, Language and Learning. Research on dataset difficulty estimation, efficient pretraining, dataset construction, and interpretable model decisions.
Assistant Professor
Language, Intelligence, and Model Ethics. Creating trustworthy NLP models and investigating ethical consequences and societal effects of language technologies.
Assistant Professor
USC NLP group members clustered by research topics and co-authorship, powered by Semantic Scholar data.
