| 2026 | LREC | Building Bridges between Student and Curricular Language: Creating a Corpus of Abstract Meaning Representations for the Classroom. | Kristin Wright-Bettner, Zheng Cai, Zekun Zhao, James H. Martin, Jeffrey Flanigan, Martha Palmer |
| 2025 | ACL | In Search of the Lost Arch in Dialogue: A Dependency Dialogue Acts Corpus for Multi-Party Dialogues. | Jon Z. Cai, Brendan King, Peyton Cameron, Susan Windisch Brown, Miriam Eckert, Dananjay Srinivas, George Arthur Baker, V. Kate Everson, Martha Palmer, James H. Martin, Jeffrey Flanigan |
| 2025 | ACL | LiDARR: Linking Document AMRs with Referents Resolvers. | Jon Z. Cai, Kristin Wright-Bettner, Zekun Zhao, Shafiuddin Rehan Ahmed, Abijith Trichur Ramachandran, Jeffrey Flanigan, Martha Palmer, James H. Martin |
| 2025 | ACL | SYNTHVERIFY: Enhancing Zero-Shot Claim Verification through Step-by-Step Synthetic Data Generation. | Rongwen Zhao, Jeffrey Flanigan |
| 2025 | EMNLP | RAC: Efficient LLM Factuality Correction with Retrieval Augmentation. | Changmao Li, Jeffrey Flanigan |
| 2025 | ICML | Residual Matrix Transformers: Scaling the Size of the Residual Stream. | Brian Mak, Jeffrey Flanigan |
| 2025 | RANLP | Alankaar: A Dataset for Figurativeness Understanding in Bangla. | Geetanjali Rakshit, Jeffrey Flanigan |
| 2025 | RANLP | ASQ: Automatically Generating Question-Answer Pairs Using AMRs. | Geetanjali Rakshit, Jeffrey Flanigan |
| 2025 | RANLP | Multi-LLM Verification for Question Answering under Conflicting Contexts. | Geetanjali Rakshit, Jeffrey Flanigan |
| 2024 | AAAI | Task Contamination: Language Models May Not Be Few-Shot Anymore. | Changmao Li, Jeffrey Flanigan |
| 2024 | EMNLP | Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel. | Brendan King, Jeffrey Flanigan |
| 2024 | ICLR | Future Language Modeling from Temporal Document History. | Changmao Li, Jeffrey Flanigan |
| 2023 | ACL | Automatic Identification of Code-Switching Functions in Speech Transcripts. | Ritu Belani, Jeffrey Flanigan |
| 2023 | ACL | Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking. | Brendan King, Jeffrey Flanigan |
| 2023 | AIED | Navigating Wanderland: Highlighting Off-Task Discussions in Classrooms. | Ananya Ganesh, Michael Alan Chang, Rachel Dickler, Michael Regan, Jon Z. Cai, Kristin Wright-Bettner, James Pustejovsky, James H. Martin, Jeffrey Flanigan, Martha Palmer, Katharina Kann |
| 2023 | RANLP | Forming Trees with Treeformers. | Nilay Patel, Jeffrey Flanigan |
| 2023 | RANLP | Does the "Most Sinfully Decadent Cake Ever" Taste Good? Answering Yes/No Questions from Figurative Contexts. | Geetanjali Rakshit, Jeffrey Flanigan |
| 2022 | EMNLP | Meaning Representations for Natural Languages: Design, Models and Applications. | Jeffrey Flanigan, Ishan Jindal, Yunyao Li, Tim O'Gorman, Martha Palmer, Nianwen Xue |
| 2022 | NAACL | DocAMR: Multi-Sentence AMR Representation and Evaluation. | Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-Suk Lee, Jeffrey Flanigan, Ramn Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider |
| 2021 | ACL | Avoiding Overlap in Data Augmentation for AMR-to-Text Generation. | Wenchao Du, Jeffrey Flanigan |
| 2016 | NAACL | Generation from Abstract Meaning Representation using Tree Transducers. | Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell |
| 2015 | NAACL | Toward Abstractive Summarization Using Semantic Representations. | Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith |
| 2015 | NAACL | The Logic of AMR: Practical, Unified, Graph-Based Sentence Semantics for NLP. | Nathan Schneider, Jeffrey Flanigan, Tim O'Gorman |
| 2014 | ACL | A Discriminative Graph-Based Parser for the Abstract Meaning Representation. | Jeffrey Flanigan, Sam Thomson, Jaime G. Carbonell, Chris Dyer, Noah A. Smith |
| 2013 | NAACL | Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search. | Jeffrey Flanigan, Chris Dyer, Jaime G. Carbonell |
| 2011 | ACL | Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. | Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith |