CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense. - Michael Chen; Mike D'Arcy; Alisa Liu; Jared Fernandez; Doug Downey (CoRR, 2019)

Multi-sense Definition Modeling using Word Sense Decompositions. - Ruimin Zhu; Thanapon Noraset; Alisa Liu; Wenxin Jiang 003; Doug Downey (CoRR, 2019)

Model Selection for Deep Audio Source Separation via Clustering Analysis. - Alisa Liu; Prem Seetharaman; Bryan Pardo (DCASE, 2020)

Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach. - Alexander Fang; Alisa Liu; Prem Seetharaman; Bryan Pardo (CoRR, 2020)

Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation. - Alisa Liu; Alexander Fang; Gaëtan Hadjeres; Prem Seetharaman; Bryan Pardo (CoRR, 2020)

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 001 (ACL/IJCNLP (1), 2021)

On-the-Fly Controlled Text Generation with Experts and Anti-Experts. - Alisa Liu; Maarten Sap; Ximing Lu; Swabha Swayamdipta; Chandra Bhagavatula; Noah A. Smith; Yejin Choi 001 (CoRR, 2021)

Generated Knowledge Prompting for Commonsense Reasoning. - Jiacheng Liu 010; Alisa Liu; Ximing Lu; Sean Welleck; Peter West; Ronan Le Bras 001; Yejin Choi 001; Hannaneh Hajishirzi (ACL (1), 2022)

WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. - Alisa Liu; Swabha Swayamdipta; Noah A. Smith; Yejin Choi 001 (EMNLP (Findings), 2022)

Self-Instruct: Aligning Language Model with Self Generated Instructions. - Yizhong Wang; Yeganeh Kordi; Swaroop Mishra; Alisa Liu; Noah A. Smith; Daniel Khashabi; Hannaneh Hajishirzi (CoRR, 2022)

Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts. - Skyler Hallinan; Alisa Liu; Yejin Choi 001; Maarten Sap (ACL (2), 2023)

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 (1), 2023)

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)

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 001 (EMNLP, 2023)

Inverse Scaling: When Bigger Isn't Better. - 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; et al. (Trans. Mach. Learn. Res., 2023)

How Language Model Hallucinations Can Snowball. - Muru Zhang; Ofir Press; William Merrill; Alisa Liu; Noah A. Smith (ICML, 2024)

Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions. - Jonathan Hayase; Alisa Liu; Yejin Choi 001; Sewoong Oh; Noah A. Smith (NeurIPS, 2024)

Decoding-Time Language Model Alignment with Multiple Objectives. - Ruizhe Shi; Yifang Chen 001; Yushi Hu; Alisa Liu; Hanna Hajishirzi; Noah A. Smith; Simon S. Du (NeurIPS, 2024)

Tuning Language Models by Proxy. - Alisa Liu; Xiaochuang Han; Yizhong Wang; Yulia Tsvetkov; Yejin Choi 001; Noah A. Smith (CoRR, 2024)

A Taxonomy of Ambiguity Types for NLP. - Margaret Y. Li; Alisa Liu; Zhaofeng Wu; Noah A. Smith (CoRR, 2024)

Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? - Jonathan Hayase; Alisa Liu; Yejin Choi 001; Sewoong Oh; Noah A. Smith (CoRR, 2024)

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training. - Nathan Lambert 001; Jacob Morrison; Valentina Pyatkin; Shengyi Huang; Hamish Ivison; Faeze Brahman; Lester James V. Miranda; Alisa Liu; Nouha Dziri; Shane Lyu; Yuling Gu; Saumya Malik; et al. (CoRR, 2024)

LlamaPIE: Proactive In-Ear Conversation Assistants. - Tuochao Chen; Nicholas Scott Batchelder; Alisa Liu; Noah A. Smith; Shyamnath Gollakota (ACL (Findings), 2025)

Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models. - Hila Gonen; Terra Blevins; Alisa Liu; Luke Zettlemoyer; Noah A. Smith (NAACL (Long Papers), 2025)

When One LLM Drools, Multi-LLM Collaboration Rules. - Shangbin Feng; Wenxuan Ding 001; Alisa Liu; Zifeng Wang 002; Weijia Shi; Yike Wang 002; Zejiang Shen 001; Xiaochuang Han; Hunter Lang; Chen-Yu Lee; Tomas Pfister; Yejin Choi 001; et al. (CoRR, 2025)

SuperBPE: Space Travel for Language Models. - Alisa Liu; Jonathan Hayase; Valentin Hofmann; Sewoong Oh; Noah A. Smith; Yejin Choi 001 (CoRR, 2025)

Sampling from Your Language Model One Byte at a Time. - Jonathan Hayase; Alisa Liu; Noah A. Smith; Sewoong Oh (CoRR, 2025)

Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations. - Brian Siyuan Zheng; Alisa Liu; Orevaoghene Ahia; Jonathan Hayase; Yejin Choi; Noah A. Smith (CoRR, 2025)