Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. - Kevin Gimpel; Nathan Schneider 001; Brendan O'Connor 001; Dipanjan Das 001; Daniel Mills; Jacob Eisenstein; Michael Heilman; Dani Yogatama; Jeffrey Flanigan; Noah A. Smith (ACL (2), 2011)

Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search. - Jeffrey Flanigan; Chris Dyer; Jaime G. Carbonell (HLT-NAACL, 2013)

A Discriminative Graph-Based Parser for the Abstract Meaning Representation. - Jeffrey Flanigan; Sam Thomson; Jaime G. Carbonell; Chris Dyer; Noah A. Smith (ACL (1), 2014)

CMU: Arc-Factored, Discriminative Semantic Dependency Parsing. - Sam Thomson; Brendan O'Connor 001; Jeffrey Flanigan; David Bamman; Jesse Dodge; Swabha Swayamdipta; Nathan Schneider 001; Chris Dyer; Noah A. Smith (SemEval@COLING, 2014)

Toward Abstractive Summarization Using Semantic Representations. - Fei Liu 004; Jeffrey Flanigan; Sam Thomson; Norman M. Sadeh; Noah A. Smith (HLT-NAACL, 2015)

The Logic of AMR: Practical, Unified, Graph-Based Sentence Semantics for NLP. - Nathan Schneider 001; Jeffrey Flanigan; Tim O'Gorman (HLT-NAACL, 2015)

Generation from Abstract Meaning Representation using Tree Transducers. - Jeffrey Flanigan; Chris Dyer; Noah A. Smith; Jaime G. Carbonell (HLT-NAACL, 2016)

CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss. - Jeffrey Flanigan; Chris Dyer; Noah A. Smith; Jaime G. Carbonell (SemEval@NAACL-HLT, 2016)

The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. - Sheshera Mysore; Zach Jensen; Edward Kim 004; Kevin Huang 004; Haw-Shiuan Chang; Emma Strubell; Jeffrey Flanigan; Andrew McCallum; Elsa A. Olivetti (LAW@ACL, 2019)

Athena: Constructing Dialogues Dynamically with Discourse Constraints. - Vrindavan Harrison; Juraj Juraska; Wen Cui; Lena Reed; Kevin K. Bowden; JiaQi Wu; Brian Schwarzmann; Abteen Ebrahimi; Rishi Rajasekaran; Nikhil Varghese; Max Wechsler-Azen; Steve Whittaker 001; et al. (CoRR, 2020)

Avoiding Overlap in Data Augmentation for AMR-to-Text Generation. - Wenchao Du; Jeffrey Flanigan (ACL/IJCNLP (2), 2021)

ASQ: Automatically Generating Question-Answer Pairs using AMRs. - Geetanjali Rakshit; Jeffrey Flanigan (CoRR, 2021)

DocAMR: Multi-Sentence AMR Representation and Evaluation. - Tahira Naseem; Austin Blodgett; Sadhana Kumaravel; Tim O'Gorman; Young-Suk Lee 001; Jeffrey Flanigan; Ramón Fernandez Astudillo; Radu Florian; Salim Roukos; Nathan Schneider 001 (NAACL-HLT, 2022)

Automatic Identification of Motivation for Code-Switching in Speech Transcripts. - Ritu Belani; Jeffrey Flanigan (CoRR, 2022)

Parsing and Generation for the Abstract Meaning Representation - Jeffrey Flanigan (2022)

Automatic Identification of Code-Switching Functions in Speech Transcripts. - Ritu Belani; Jeffrey Flanigan (ACL (Findings), 2023)

Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking. - Brendan King; Jeffrey Flanigan (ACL (Findings), 2023)

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 (AIED, 2023)

Forming Trees with Treeformers. - Nilay Patel; Jeffrey Flanigan (RANLP, 2023)

Does the "Most Sinfully Decadent Cake Ever" Taste Good? Answering Yes/No Questions from Figurative Contexts. - Geetanjali Rakshit; Jeffrey Flanigan (RANLP, 2023)

Dependency Dialogue Acts - Annotation Scheme and Case Study. - Jon Z. Cai; Brendan King; Margaret Perkoff; Shiran Dudy; Jie Cao 010; Marie Grace; Natalia Wojarnik; Ananya Ganesh; James H. Martin; Martha Palmer; Marilyn A. Walker; Jeffrey Flanigan (CoRR, 2023)

A New Approach Towards Autoformalization. - Nilay Patel; Rahul Saha; Jeffrey Flanigan (CoRR, 2023)

Understanding the Role of Optimization in Double Descent. - Chris Yuhao Liu; Jeffrey Flanigan (CoRR, 2023)

Task Contamination: Language Models May Not Be Few-Shot Anymore. - Changmao Li; Jeffrey Flanigan (AAAI, 2024)

Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel. - Brendan King; Jeffrey Flanigan (EMNLP, 2024)

Future Language Modeling from Temporal Document History. - Changmao Li; Jeffrey Flanigan (ICLR, 2024)

Large Language Model Unlearning via Embedding-Corrupted Prompts. - Chris Yuhao Liu; Yaxuan Wang; Jeffrey Flanigan; Yang Liu 018 (NeurIPS, 2024)

From learning optimization to learner flourishing: Reimagining AI in Education at the Institute for Student-AI Teaming (iSAT). - Sidney K. D'Mello; Quentin Biddy; Thomas Breideband; Jeffrey Bush 001; Michael Alan Chang; Arturo Cortez; Jeffrey Flanigan; Peter W. Foltz; Jamie C. Gorman; Leanne M. Hirshfield; Monlin Monica Ko; Nikhil Krishnaswamy; et al. (AI Mag., 2024)

The Power of the Noisy Channel: Unsupervised End-to-End Task-Oriented Dialogue with LLMs. - Brendan King; Jeffrey Flanigan (CoRR, 2024)

RAC: Efficient LLM Factuality Correction with Retrieval Augmentation. - Changmao Li; Jeffrey Flanigan (CoRR, 2024)

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 (ACL (Findings), 2025)

SYNTHVERIFY: Enhancing Zero-Shot Claim Verification through Step-by-Step Synthetic Data Generation. - Rongwen Zhao; Jeffrey Flanigan (ACL (Findings), 2025)

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages. - Christopher Toukmaji; Jeffrey Flanigan (CoRR, 2025)

Residual Matrix Transformers: Scaling the Size of the Residual Stream. - Brian Mak; Jeffrey Flanigan (CoRR, 2025)