Jeffrey Flanigan

According to our database, Jeffrey Flanigan authored at least 39 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MathAtlas: A Benchmark for Autoformalization in the Wild.

Nilay Patel, Noah Arias, Davit Babayan, Victoria Cochran, Timothy Libman, Hafsah Mahmood, Liam McCarty, Soli Munoz, Laurel Willey, Jeffrey Flanigan

CoRR, May, 2026

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, June, 2025

Multi-LLM Verification for Question Answering under Conflicting Contexts.

Geetanjali Rakshit, Jeffrey Flanigan

Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

ASQ: Automatically Generating Question-Answer Pairs Using AMRs.

Geetanjali Rakshit, Jeffrey Flanigan

Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

Alankaar: A Dataset for Figurativeness Understanding in Bangla.

Geetanjali Rakshit, Jeffrey Flanigan

Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

Residual Matrix Transformers: Scaling the Size of the Residual Stream.

Brian Mak, Jeffrey Flanigan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

RAC: Efficient LLM Factuality Correction with Retrieval Augmentation.

Changmao Li, Jeffrey Flanigan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SYNTHVERIFY: Enhancing Zero-Shot Claim Verification through Step-by-Step Synthetic Data Generation.

Rongwen Zhao, Jeffrey Flanigan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

The Power of the Noisy Channel: Unsupervised End-to-End Task-Oriented Dialogue with LLMs.

Brendan King, Jeffrey Flanigan

CoRR, 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, Michael Alan Chang, Arturo Cortez, Jeffrey Flanigan, Peter W. Foltz, Jamie C. Gorman, Leanne M. Hirshfield, Monlin Monica Ko, Nikhil Krishnaswamy, Rachel Lieber, James H. Martin, Martha Palmer, William R. Penuel, Thomas M. Philip, Sadhana Puntambekar, James Pustejovsky, Jason G. Reitman, Tamara Sumner, Michael Tissenbaum, Lyn Walker, Jacob Whitehill

AI Mag., 2024

Large Language Model Unlearning via Embedding-Corrupted Prompts.

Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Future Language Modeling from Temporal Document History.

Changmao Li, Jeffrey Flanigan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel.

Brendan King, Jeffrey Flanigan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Task Contamination: Language Models May Not Be Few-Shot Anymore.

Changmao Li, Jeffrey Flanigan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Understanding the Role of Optimization in Double Descent.

Chris Yuhao Liu, Jeffrey Flanigan

CoRR, 2023

A New Approach Towards Autoformalization.

Nilay Patel, Rahul Saha, Jeffrey Flanigan

CoRR, 2023

Dependency Dialogue Acts - Annotation Scheme and Case Study.

Jon Z. Cai, Brendan King, Margaret Perkoff, Shiran Dudy, Jie Cao, Marie Grace, Natalia Wojarnik, Ananya Ganesh, James H. Martin, Martha Palmer, Marilyn A. Walker, Jeffrey Flanigan

CoRR, 2023

Does the "Most Sinfully Decadent Cake Ever" Taste Good? Answering Yes/No Questions from Figurative Contexts.

Geetanjali Rakshit, Jeffrey Flanigan

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

Forming Trees with Treeformers.

Nilay Patel, Jeffrey Flanigan

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 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

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking.

Brendan King, Jeffrey Flanigan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Automatic Identification of Code-Switching Functions in Speech Transcripts.

Ritu Belani, Jeffrey Flanigan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Parsing and Generation for the Abstract Meaning Representation

Jeffrey Flanigan

PhD thesis, 2022

Automatic Identification of Motivation for Code-Switching in Speech Transcripts.

Ritu Belani, Jeffrey Flanigan

CoRR, 2022

DocAMR: Multi-Sentence AMR Representation and Evaluation.

Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-Suk Lee, Jeffrey Flanigan, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Meaning Representations for Natural Languages: Design, Models and Applications.

Jeffrey Flanigan, Ishan Jindal, Yunyao Li, Tim O'Gorman, Martha Palmer, Nianwen Xue

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022, 2022

2021

Avoiding Overlap in Data Augmentation for AMR-to-Text Generation.

Wenchao Du, Jeffrey Flanigan

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

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, Jeffrey Flanigan, Marilyn A. Walker

CoRR, 2020

2019

The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures.

Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa A. Olivetti

Proceedings of the 13th Linguistic Annotation Workshop, 2019

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

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Generation from Abstract Meaning Representation using Tree Transducers.

Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell

Proceedings of the NAACL HLT 2016, 2016

2015

The Logic of AMR: Practical, Unified, Graph-Based Sentence Semantics for NLP.

Nathan Schneider, Jeffrey Flanigan, Tim O'Gorman

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Toward Abstractive Summarization Using Semantic Representations.

Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

CMU: Arc-Factored, Discriminative Semantic Dependency Parsing.

Sam Thomson, Brendan O'Connor, Jeffrey Flanigan, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer, Noah A. Smith

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

A Discriminative Graph-Based Parser for the Abstract Meaning Representation.

Jeffrey Flanigan, Sam Thomson, Jaime G. Carbonell, Chris Dyer, Noah A. Smith

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search.

Jeffrey Flanigan, Chris Dyer, Jaime G. Carbonell

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

2011

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

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011