Yesterday's Reward is Today's Punishment: Contrast Effects in Human Feedback to Reinforcement Learning Agents. - Divya Ramesh; Anthony Z. Liu; Andres J. Echeverria; Jean Y. Song; Nicholas R. Waytowich; Walter S. Lasecki (AAMAS, 2020)

Predictive Information Accelerates Learning in RL. - Kuang-Huei Lee; Ian Fischer; Anthony Z. Liu; Yijie Guo; Honglak Lee; John F. Canny; Sergio Guadarrama (NeurIPS, 2020)

Towards Hybrid Human-AI Workflows for Unknown Unknown Detection. - Anthony Z. Liu; Santiago Guerra; Isaac Fung; Gabriel Matute; Ece Kamar; Walter S. Lasecki (WWW, 2020)

Learning Parameterized Task Structure for Generalization to Unseen Entities. - Anthony Z. Liu; Sungryull Sohn; Mahdi Qazwini; Honglak Lee (AAAI, 2022)

A Picture is Worth a Thousand Words: Language Models Plan from Pixels. - Anthony Z. Liu; Lajanugen Logeswaran; Sungryull Sohn; Honglak Lee (EMNLP, 2023)

TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. - Sungryull Sohn; Yiwei Lyu; Anthony Z. Liu; Lajanugen Logeswaran; Dong-Ki Kim; Dongsub Shim; Honglak Lee (EMNLP, 2023)

Label-Efficient Group Robustness via Out-of-Distribution Concept Curation. - Yiwei Yang 009; Anthony Z. Liu; Robert Wolfe; Aylin Caliskan; Bill Howe (CVPR, 2024)

Code Models are Zero-shot Precondition Reasoners. - Lajanugen Logeswaran; Sungryull Sohn; Yiwei Lyu; Anthony Z. Liu; Dong-Ki Kim; Dongsub Shim; Moontae Lee; Honglak Lee (NAACL-HLT, 2024)

Interactive and Expressive Code-Augmented Planning with Large Language Models. - Anthony Zhe Liu; Xinhe Wang 001; Jacob Sansom; Yao Fu; Jongwook Choi; Sungryull Sohn; Jaekyeom Kim; Honglak Lee (ACL (1), 2025)

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? - Yiwei Yang 009; Chung Peng Lee; Shangbin Feng; Dora Zhao; Bingbing Wen; Anthony Z. Liu; Yulia Tsvetkov; Bill Howe (CoRR, 2025)