ALLeGRo Lab

The AI, Language, Learning, Generalization, and Robustness (ALLeGRo) Lab is part of the Thomas Lord Department of Computer Science at the University of Southern California, led by Robin Jia. We study natural language processing and machine learning. Click on a research area to highlight our students working in that area:

News

Feb 2026	Johnny gave a talk at the Stanford NLP Seminar! Title:The Shape of AI Accountability and Its Contours in Copyright.
Jan 2026	Hubble and FoNE has been accepted to ICLR 2026!
May 2025	Deqing gave a talk at the Stanford NLP Seminar! Title:Closing the Modality Gap: Benchmarking and Improving Visual Understanding in Multimodal LLMs.

People

Faculty

Robin Jia

Assistant Professor

Website

PhD Students

Johnny Tian-Zheng Wei

PhD Student

Website

Hubble: a Model Suite to Advance the Study of LLM Memorization. ICLR 2026. [paper]

Student Two

PhD Student

Website

Yet Another Paper Title. EMNLP 2023. [paper]

Wang Bill Zhu

PhD Student

Website

Deqing Fu

PhD Student

Website

Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression. NeurIPS 2024. [paper]

MS Students

Jerry Li

MS Student

Website Linkedin

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization. arxiv. [paper]

Undergraduate Students

Alumni

Ryan Wang

Undergraduate → PhD at UC Berkeley

Website

Proving membership in LLM pretraining data via data watermarks. Findings of ACL 2024. [paper]

Lorena Yan

Undergraduate → PhD at Columbia University

Website

Promote, Suppress, Iterate: How Language Models Answer One-to-Many Factual Queries. EMNLP 2025. [paper]

Qilin Ye

Undergraduate → MS at Duke University

When Do Transformers Learn Heuristics for Graph Connectivity? [paper]

Harvey Yiyun Fu

Undergraduate → PhD at UChicago

Website

Estimating Large Language Model Capabilities without Labeled Test Data. Findings of EMNLP 2023. [paper]

Projects

A suite of open-source LLMs for the scientific study of LLM memorization.