I’m a PhD student at MIT EECS and CSAIL, advised by Yoon Kim. Previously, I was an AI Resident at Google Research, where I worked with Fei Sha and Peter Shaw. I received my Master’s degree from Georgia Tech and Bachelor’s degree from the University of Hong Kong. I’m interested in natural language processing.

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
EMNLP 2022

Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing
Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha
COLING 2022

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
[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
[code]

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

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
[code]