| 2025 | ACL | Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets. | Harshit Joshi, Shicheng Liu, James Chen, Larsen Weigle, Monica S. Lam |
| 2025 | ICLR | UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning. | Shicheng Liu, Minghui Zhu |
| 2024 | ACL | SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing. | Heidi C. Zhang, Sina J. Semnani, Farhad Ghassemi, Jialiang Xu, Shicheng Liu, Monica S. Lam |
| 2024 | EMNLP | SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions. | Shicheng Liu, Sina J. Semnani, Harold Triedman, Jialiang Xu, Isaac Dan Zhao, Monica S. Lam |
| 2024 | ICLR | Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis. | Shicheng Liu, Minghui Zhu |
| 2024 | NAACL | SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models. | Shicheng Liu, Jialiang Xu, Wesley Tjangnaka, Sina J. Semnani, Chen Jie Yu, Monica Lam |
| 2023 | EMNLP | Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata. | Silei Xu, Shicheng Liu, Theo Culhane, Elizaveta Pertseva, Meng-Hsi Wu, Sina J. Semnani, Monica S. Lam |
| 2022 | ICSE | Automated Testing of Software that Uses Machine Learning APIs. | Chengcheng Wan, Shicheng Liu, Sophie Xie, Yifan Liu, Henry Hoffmann, Michael Maire, Shan Lu |
| 2021 | ICSE | Are Machine Learning Cloud APIs Used Correctly? | Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu |
| 2021 | ICSE | A Replication of Are Machine Learning Cloud APIs Used Correctly. | Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu |