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2020 – today
- 2024
[c9]Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith:
How Language Model Hallucinations Can Snowball. ICML 2024- [i19]Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith:
Tuning Language Models by Proxy. CoRR abs/2401.08565 (2024) - [i18]Margaret Y. Li, Alisa Liu, Zhaofeng Wu, Noah A. Smith:
A Taxonomy of Ambiguity Types for NLP. CoRR abs/2403.14072 (2024) - [i17]Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi, Noah A. Smith, Simon S. Du:
Decoding-Time Language Model Alignment with Multiple Objectives. CoRR abs/2406.18853 (2024) - [i16]Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah A. Smith:
Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? CoRR abs/2407.16607 (2024) - [i15]Hila Gonen, Terra Blevins, Alisa Liu, Luke Zettlemoyer, Noah A. Smith:
Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models. CoRR abs/2408.06518 (2024) - 2023
- [j1]Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez:
Inverse Scaling: When Bigger Isn't Better. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Skyler Hallinan, Alisa Liu, Yejin Choi, Maarten Sap:
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts. ACL (2) 2023: 228-242 - [c7]Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi:
Self-Instruct: Aligning Language Models with Self-Generated Instructions. ACL (1) 2023: 13484-13508 - [c6]Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
We're Afraid Language Models Aren't Modeling Ambiguity. EMNLP 2023: 790-807 - [c5]Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith:
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context? EMNLP (Findings) 2023: 4555-4569 - [i14]Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
We're Afraid Language Models Aren't Modeling Ambiguity. CoRR abs/2304.14399 (2023) - [i13]Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith:
How Language Model Hallucinations Can Snowball. CoRR abs/2305.13534 (2023) - [i12]Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez:
Inverse Scaling: When Bigger Isn't Better. CoRR abs/2306.09479 (2023) - [i11]Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith:
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context? CoRR abs/2310.14610 (2023) - 2022
- [c4]Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi:
Generated Knowledge Prompting for Commonsense Reasoning. ACL (1) 2022: 3154-3169 - [c3]Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. EMNLP (Findings) 2022: 6826-6847 - [i10]Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. CoRR abs/2201.05955 (2022) - [i9]Skyler Hallinan, Alisa Liu, Yejin Choi, Maarten Sap:
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts. CoRR abs/2212.10543 (2022) - [i8]Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi:
Self-Instruct: Aligning Language Model with Self Generated Instructions. CoRR abs/2212.10560 (2022) - 2021
- [c2]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. ACL/IJCNLP (1) 2021: 6691-6706 - [i7]Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi:
On-the-Fly Controlled Text Generation with Experts and Anti-Experts. CoRR abs/2105.03023 (2021) - [i6]Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi:
Generated Knowledge Prompting for Commonsense Reasoning. CoRR abs/2110.08387 (2021) - 2020
- [c1]Alisa Liu, Prem Seetharaman, Bryan Pardo:
Model Selection for Deep Audio Source Separation via Clustering Analysis. DCASE 2020: 91-95 - [i5]Alexander Fang, Alisa Liu, Prem Seetharaman, Bryan Pardo:
Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach. CoRR abs/2006.13329 (2020) - [i4]Alisa Liu, Alexander Fang, Gaëtan Hadjeres, Prem Seetharaman, Bryan Pardo:
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation. CoRR abs/2006.13331 (2020)
2010 – 2019
- 2019
- [i3]Michael Chen, Mike D'Arcy, Alisa Liu, Jared Fernandez, Doug Downey:
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense. CoRR abs/1904.04365 (2019) - [i2]Ruimin Zhu, Thanapon Noraset, Alisa Liu, Wenxin Jiang, Doug Downey:
Multi-sense Definition Modeling using Word Sense Decompositions. CoRR abs/1909.09483 (2019) - [i1]Alisa Liu, Prem Seetharaman, Bryan Pardo:
Model selection for deep audio source separation via clustering analysis. CoRR abs/1910.12626 (2019)
Coauthor Index
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last updated on 2024-09-25 01:41 CEST by the dblp team
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