| 2025 | EMNLP | How Accurate Are LLMs at Multi-Question Answering on Conversational Transcripts? | Xiliang Zhu, Shi Zong, David Rossouw |
| 2024 | SIGIR | Reflections on the Coding Ability of LLMs for Analyzing Market Research Surveys. | Shi Zong, Santosh Kolagati, Amit Chaudhary, Josh Seltzer, Jimmy Lin |
| 2022 | ACL | Doctor Recommendation in Online Health Forums via Expertise Learning. | Xiaoxin Lu, Yubo Zhang, Jing Li, Shi Zong |
| 2022 | COLING | Extracting a Knowledge Base of COVID-19 Events from Social Media. | Shi Zong, Ashutosh Baheti, Wei Xu, Alan Ritter |
| 2022 | EMNLP | Probing Cross-modal Semantics Alignment Capability from the Textual Perspective. | Zheng Ma, Shi Zong, Mianzhi Pan, Jianbing Zhang, Shujian Huang, Xinyu Dai, Jiajun Chen |
| 2022 | ICLR | GNN-LM: Language Modeling based on Global Contexts via GNN. | Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li |
| 2022 | NAACL | Analyzing the Intensity of Complaints on Social Media. | Ming Fang, Shi Zong, Jing Li, Xinyu Dai, Shujian Huang, Jiajun Chen |
| 2022 | SIGIR | Flipping the Script: Inverse Information Seeking Dialogues for Market Research. | Josh Seltzer, Kathy Cheng, Shi Zong, Jimmy Lin |
| 2020 | ACL | Measuring Forecasting Skill from Text. | Shi Zong, Alan Ritter, Eduard H. Hovy |
| 2019 | NAACL | Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media. | Shi Zong, Alan Ritter, Graham Mueller, Evan Wright |
| 2017 | WWW | Does Weather Matter?: Causal Analysis of TV Logs. | Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen |
| 2016 | UAI | Cascading Bandits for Large-Scale Recommendation Problems. | Shi Zong, Hao Ni, Kenny Sung, Nan Rosemary Ke, Zheng Wen, Branislav Kveton |