Linlu Qiu

I’m an AI Resident at Google Research, where I work with Fei Sha and Pete Shaw. I graduated from Georgia Tech with a Master’s in Computational Science and Engineering. Before that, I received my Bachelor’s degree from the University of Hong Kong. I’m currently working on compositional generalization and grounded language understanding.

Publications

Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing
Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova
Arxiv preprint 2022
[paper]

Improving Compositional Generalization with Latent Structure and Data Augmentation
Linlu Qiu, Peter Shaw*, Panupong Pasupat, Paweł Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova
NAACL 2022 (Oral)
[paper] [code]

Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?
Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, and Fei Sha
EMNLP 2021 (Oral)
[paper] [code]

Visually Grounded Concept Composition
Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, and Fei Sha
Findings of EMNLP 2021
[paper]

Quasi-Dense Similarity Learning for Multiple Object Tracking
Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, and Fisher Yu
CVPR 2021 (Oral)
[paper] [code]