Publications | Alisa Liu

Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. Preprint, 2022.

Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi. Generated Knowledge Prompting for Commonsense Reasoning. In ACL, 2022.

Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi. DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. In ACL, 2021.

Alisa Liu, Prem Seetharaman, Bryan Pardo. Model Selection for Deep Audio Source Separation via Clustering Analysis. In DCASE (Best Student Paper Award), 2020.

Alisa Liu, Alex Fang, Prem Seetharaman, Bryan Pardo. Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation. In ML4MD Workshop at ICML, 2020.

Alex Fang, Alisa Liu, Prem Seetharaman, Bryan Pardo. Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach. In ML4MD Workshop at ICML, 2020.

Michael Chen, Mike D’Arcy, Alisa Liu, Jared Fernandez, Doug Downey. CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense. In RepEval Workshop at NAACL, 2019.