| 2025 | EMNLP | The Progress Illusion: Revisiting meta-evaluation standards of LLM evaluators. | Tianruo Rose Xu, Vedant Gaur, Liu Leqi, Tanya Goyal |
| 2025 | ICLR | A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement. | Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi |
| 2025 | ICLR | Prompting Fairness: Integrating Causality to Debias Large Language Models. | Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu |
| 2025 | ICML | EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations. | Haotian Zhai, Connor Lawless, Ellen Vitercik, Liu Leqi |
| 2023 | CHI | A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits. | Liu Leqi, Giulio Zhou, Fatma Kilin-Karzan, Zachary C. Lipton, Alan L. Montgomery |
| 2022 | AAAI | Modeling Attrition in Recommender Systems with Departing Bandits. | Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour |
| 2022 | AISTATS | Off-Policy Risk Assessment for Markov Decision Processes. | Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli |
| 2022 | ICML | Action-Sufficient State Representation Learning for Control with Structural Constraints. | Biwei Huang, Chaochao Lu, Liu Leqi, Jos Miguel Hernndez-Lobato, Clark Glymour, Bernhard Schlkopf, Kun Zhang |
| 2022 | ICML | Supervised Learning with General Risk Functionals. | Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli |
| 2022 | ICWSM | Many Ways to Be Lonely: Fine-Grained Characterization of Loneliness and Its Potential Changes in COVID-19. | Yueyi Jiang, Yunfan Jiang, Liu Leqi, Piotr Winkielman |
| 2020 | ICML | Uniform Convergence of Rank-weighted Learning. | Justin Khim, Liu Leqi, Adarsh Prasad, Pradeep Ravikumar |
| 2020 | UAI | Automated Dependence Plots. | David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar |