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Alisa Liu
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Year
Self-Instruct: Aligning Language Model with Self Generated Instructions
Y Wang, Y Kordi, S Mishra, A Liu, NA Smith, D Khashabi, H Hajishirzi
ACL 2023, 2023
16302023
DEXPERTS: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
A Liu, M Sap, X Lu, S Swayamdipta, C Bhagavatula, NA Smith, Y Choi
ACL 2021, 2021
3312021
Generated knowledge prompting for commonsense reasoning
J Liu, A Liu, X Lu, S Welleck, P West, RL Bras, Y Choi, H Hajishirzi
ACL 2022, 2022
2902022
How language model hallucinations can snowball
M Zhang, O Press, W Merrill, A Liu, NA Smith
ICML 2024, 2023
2272023
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
A Liu, S Swayamdipta, NA Smith, Y Choi
EMNLP Findings 2022, 2022
2072022
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense
M Chen, M D¡ŠArcy, A Liu, J Fernandez, D Downey
NAACL RepEval workshop, 2019
882019
Inverse Scaling: When Bigger Isn't Better
IR McKenzie, A Lyzhov, M Pieler, A Parrish, A Mueller, A Prabhu, ...
TMLR 2023, 2023
712023
We're Afraid Language Models Aren't Modeling Ambiguity
A Liu, Z Wu, J Michael, A Suhr, P West, A Koller, S Swayamdipta, ...
EMNLP 2023, 2023
592023
Tuning Language Models by Proxy
A Liu, X Han, Y Wang, Y Tsvetkov, Y Choi, NA Smith
COLM 2024, 2024
472024
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts
S Hallinan, A Liu, Y Choi, M Sap
ACL 2023, 2023
312023
Bach or Mock? A Grading Function for Chorales in the Style of JS Bach
A Fang, A Liu, P Seetharaman, B Pardo
ICML Machine Learning for Media Discovery (ML4MD) Workshop 2020, 2020
112020
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation
A Liu, A Fang, G Hadjeres, P Seetharaman, B Pardo
ICML Machine Learning for Media Discovery (ML4MD) Workshop, 2020
92020
Decoding-Time Language Model Alignment with Multiple Objectives
R Shi, Y Chen, Y Hu, A Liu, N Smith, H Hajishirzi, S Du
NeurIPS 2024, 2024
72024
Multi-sense definition modeling using word sense decompositions
R Zhu, T Noraset, A Liu, W Jiang, D Downey
arXiv preprint arXiv:1909.09483, 2019
72019
Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?
J Hayase*, A Liu*, Y Choi, S Oh, NA Smith
NeurIPS 2024, 2024
32024
Model selection for deep audio source separation via clustering analysis
A Liu, P Seetharaman, B Pardo
Workshop on Detection and Classification of Acoustic Scenes and Events ¡K, 2020
32020
A Taxonomy of Ambiguity Types for NLP
MY Li, A Liu, Z Wu, NA Smith
arXiv preprint arXiv:2403.14072, 2024
12024
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?
J Lee, A Liu, O Ahia, H Gonen, NA Smith
EMNLP Findings 2023, 2023
12023
T\" ULU 3: Pushing Frontiers in Open Language Model Post-Training
N Lambert, J Morrison, V Pyatkin, S Huang, H Ivison, F Brahman, ...
arXiv preprint arXiv:2411.15124, 2024
2024
Does liking yellow imply driving a school bus? semantic leakage in language models
H Gonen, T Blevins, A Liu, L Zettlemoyer, NA Smith
arXiv preprint arXiv:2408.06518, 2024
2024
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Articles 1–20