Publications

Tuning Language Models by Proxy.
Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith. Preprint 2024.

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We're Afraid Language Models Aren't Modeling Ambiguity.
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi. EMNLP 2023.

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That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?.
Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith. EMNLP Findings 2023.

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Inverse Scaling: When Bigger Isn't Better.
Ian R. McKenzie, 18 others, Alisa Liu, Jiacheng Liu, Tom Tseng, Tomasz Korbak, Najoung Kim, Samuel R. Bowman, Ethan Perez. TMLR 2023.

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Self-Instruct: Aligning Language Models with Self-Generated Instructions.
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi. ACL 2023.

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Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts.
Skyler Hallinan, Alisa Liu, Yejin Choi, Maarten Sap. ACL 2023.

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

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

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

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

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

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

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

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