| 2026 | AAAI | LaTeX2Layout: High-Fidelity, Scalable Document Layout Annotation Pipeline for Layout Detection. | Feijiang Han, Zelong Wang, Bowen Wang, Xinxin Liu, Skyler Cheung, Delip Rao, Chris Callison-Burch, Lyle H. Ungar |
| 2026 | ACL | NSF-SciFy: Mining the NSF Awards Database for Scientific Claims. | Delip Rao, Weiqiu You, Eric Wong, Chris Callison-Burch |
| 2026 | NLDB | What Do Claim Verification Datasets Actually Test? A Reasoning Trace Analysis. | Delip Rao, Chris Callison-Burch |
| 2026 | NLDB | ThinknCheck: Grounded Claim Verification with Compact, Reasoning-Driven, and Interpretable Models. | Delip Rao, Feijiang Han, Chris Callison-Burch |
| 2025 | EMNLP | Probabilistic Soundness Guarantees in LLM Reasoning Chains. | Weiqiu You, Anton Xue, Shreya Havaldar, Delip Rao, Helen Jin, Chris Callison-Burch, Eric Wong |
| 2023 | EMNLP | Learning Interpretable Style Embeddings via Prompting LLMs. | Ajay Patel, Delip Rao, Ansh Kothary, Kathleen R. McKeown, Chris Callison-Burch |
| 2023 | IJCNLP | Faithful Chain-of-Thought Reasoning. | Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch |
| 2020 | AAAI | Learning Efficient Representations for Fake Speech Detection. | Nishant Subramani, Delip Rao |
| 2018 | AAAI | Listening to the World Improves Speech Command Recognition. | Brian McMahan, Delip Rao |
| 2011 | ACL | Typed Graph Models for Learning Latent Attributes from Names. | Delip Rao, David Yarowsky |
| 2011 | ICWSM | Hierarchical Bayesian Models for Latent Attribute Detection in Social Media. | Delip Rao, Michael J. Paul, Clayton Fink, David Yarowsky, Timothy Oates, Glen Coppersmith |
| 2010 | CIKM | Classifying latent user attributes in twitter. | Delip Rao, David Yarowsky, Abhishek Shreevats, Manaswi Gupta |
| 2010 | COLING | Entity Disambiguation for Knowledge Base Population. | Mark Dredze, Paul McNamee, Delip Rao, Adam Gerber, Tim Finin |
| 2010 | COLING | Streaming Cross Document Entity Coreference Resolution. | Delip Rao, Paul McNamee, Mark Dredze |
| 2009 | EACL | Semi-Supervised Polarity Lexicon Induction. | Delip Rao, Deepak Ravichandran |
| 2006 | FlAIRS | Improving Case-Based Recommendations Using Implicit Feedback. | Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangani, Delip Rao |
| 2006 | FlAIRS | Corpus Based Unsupervised Labeling of Documents. | Delip Rao, Deepak P, Deepak Khemani |
| 2006 | PRICAI | Building Clusters of Related Words: An Unsupervised Approach. | Deepak P, Delip Rao, Deepak Khemani |
| 2005 | COMAD | VisualRDR: A general framework for creating, maintaining and learning of ripple down rules for Information Extraction. | Delip Rao, Sachindra Joshi, Sreeram Balakrishnan, Ganesh Ramakrishnan |