| 2024 | ICML | Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. | Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou |
| 2023 | ACL | Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies. | Raymond Zhang, Neha Nayak Kennard, Daniel Scott Smith, Daniel A. McFarland, Andrew McCallum, Katherine Keith |
| 2023 | CHI | Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research. | Hancheng Cao, Yujie Lu, Yuting Deng, Daniel A. McFarland, Michael S. Bernstein |
| 2020 | EMNLP | Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora. | Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel A. McFarland, Xiang Ren |
| 2017 | CIKM | Modeling Affinity based Popularity Dynamics. | Minkyoung Kim, Daniel A. McFarland, Jure Leskovec |
| 2016 | ACL | Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. | Vinodkumar Prabhakaran, William L. Hamilton, Daniel A. McFarland, Dan Jurafsky |
| 2012 | ACL | Towards a Computational History of the ACL: 1980-2008. | Ashton Anderson, Dan Jurafsky, Daniel A. McFarland |
| 2011 | ICWSM | LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. | Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky |
| 2009 | EMNLP | It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates. | Rajesh Ranganath, Daniel Jurafsky, Daniel A. McFarland |
| 2009 | NAACL | Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation. | Daniel Jurafsky, Rajesh Ranganath, Daniel A. McFarland |