Jeffrey Flanigan

50 papers A* 5A 1Misc 5Journal 20Unranked 18
YearRankTypeTitle / Venue / Authors
2025 Misc conf
ASQ: Automatically Generating Question-Answer Pairs Using AMRs.
RANLP
Geetanjali Rakshit, Jeffrey Flanigan
2025 Misc conf
Alankaar: A Dataset for Figurativeness Understanding in Bangla.
RANLP
Geetanjali Rakshit, Jeffrey Flanigan
2025 — conf
In Search of the Lost Arch in Dialogue: A Dependency Dialogue Acts Corpus for Multi-Party Dialogues.
ACL (Findings)
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 — conf
LiDARR: Linking Document AMRs with Referents Resolvers.
ACL (3)
Jon Z. Cai, Kristin Wright-Bettner, Zekun Zhao, Shafiuddin Rehan Ahmed, Abijith Trichur Ramachandran, Jeffrey Flanigan, Martha Palmer, James H. Martin
2025 Misc conf
Multi-LLM Verification for Question Answering under Conflicting Contexts.
RANLP
Geetanjali Rakshit, Jeffrey Flanigan
2025 J jnl
Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages.
CoRR
Christopher Toukmaji, Jeffrey Flanigan
2025 — conf
RAC: Efficient LLM Factuality Correction with Retrieval Augmentation.
EMNLP (Findings)
Changmao Li, Jeffrey Flanigan
2025 A* conf
Residual Matrix Transformers: Scaling the Size of the Residual Stream.
ICML
Brian Mak, Jeffrey Flanigan
2025 J jnl
Residual Matrix Transformers: Scaling the Size of the Residual Stream.
CoRR
Brian Mak, Jeffrey Flanigan
2025 — conf
SYNTHVERIFY: Enhancing Zero-Shot Claim Verification through Step-by-Step Synthetic Data Generation.
ACL (Findings)
Rongwen Zhao, Jeffrey Flanigan
2024 J jnl
From learning optimization to learner flourishing: Reimagining AI in Education at the Institute for Student-AI Teaming (iSAT).
AI Mag.
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
2024 A* conf
Future Language Modeling from Temporal Document History.
ICLR
Changmao Li, Jeffrey Flanigan
2024 J jnl
Future Language Modeling from Temporal Document History.
CoRR
Changmao Li, Jeffrey Flanigan
2024 A* conf
Large Language Model Unlearning via Embedding-Corrupted Prompts.
NeurIPS
Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu
2024 J jnl
Large Language Model Unlearning via Embedding-Corrupted Prompts.
CoRR
Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu
2024 J jnl
RAC: Efficient LLM Factuality Correction with Retrieval Augmentation.
CoRR
Changmao Li, Jeffrey Flanigan
2024 A* conf
Task Contamination: Language Models May Not Be Few-Shot Anymore.
AAAI
Changmao Li, Jeffrey Flanigan
2024 J jnl
The Power of the Noisy Channel: Unsupervised End-to-End Task-Oriented Dialogue with LLMs.
CoRR
Brendan King, Jeffrey Flanigan
2024 A* conf
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel.
EMNLP
Brendan King, Jeffrey Flanigan
2023 J jnl
A New Approach Towards Autoformalization.
CoRR
Nilay Patel, Rahul Saha, Jeffrey Flanigan
2023 — conf
Automatic Identification of Code-Switching Functions in Speech Transcripts.
ACL (Findings)
Ritu Belani, Jeffrey Flanigan
2023 J jnl
Dependency Dialogue Acts - Annotation Scheme and Case Study.
CoRR
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
2023 — conf
Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking.
ACL (Findings)
Brendan King, Jeffrey Flanigan
2023 J jnl
Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking.
CoRR
Brendan King, Jeffrey Flanigan
2023 Misc conf
Does the "Most Sinfully Decadent Cake Ever" Taste Good? Answering Yes/No Questions from Figurative Contexts.
RANLP
Geetanjali Rakshit, Jeffrey Flanigan
2023 J jnl
Does the "most sinfully decadent cake ever" taste good? Answering Yes/No Questions from Figurative Contexts.
CoRR
Geetanjali Rakshit, Jeffrey Flanigan
2023 Misc conf
Forming Trees with Treeformers.
RANLP
Nilay Patel, Jeffrey Flanigan
2023 A conf
Navigating Wanderland: Highlighting Off-Task Discussions in Classrooms.
AIED
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 J jnl
Task Contamination: Language Models May Not Be Few-Shot Anymore.
CoRR
Changmao Li, Jeffrey Flanigan
2023 J jnl
Understanding the Role of Optimization in Double Descent.
CoRR
Chris Yuhao Liu, Jeffrey Flanigan
2022 J jnl
Automatic Identification of Motivation for Code-Switching in Speech Transcripts.
CoRR
Ritu Belani, Jeffrey Flanigan
2022 — conf
DocAMR: Multi-Sentence AMR Representation and Evaluation.
NAACL-HLT
Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-Suk Lee, Jeffrey Flanigan, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider
2022 J jnl
Forming Trees with Treeformers.
CoRR
Nilay Patel, Jeffrey Flanigan
2022 — conf
Meaning Representations for Natural Languages: Design, Models and Applications.
EMNLP (Tutorial Abstracts)
Jeffrey Flanigan, Ishan Jindal, Yunyao Li, Tim O'Gorman, Martha Palmer, Nianwen Xue
2022 — —
Parsing and Generation for the Abstract Meaning Representation
Jeffrey Flanigan
2021 J jnl
ASQ: Automatically Generating Question-Answer Pairs using AMRs.
CoRR
Geetanjali Rakshit, Jeffrey Flanigan
2021 — conf
Avoiding Overlap in Data Augmentation for AMR-to-Text Generation.
ACL/IJCNLP (2)
Wenchao Du, Jeffrey Flanigan
2021 J jnl
DocAMR: Multi-Sentence AMR Representation and Evaluation.
CoRR
Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-Suk Lee, Jeffrey Flanigan, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider
2020 J jnl
Athena: Constructing Dialogues Dynamically with Discourse Constraints.
CoRR
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
2019 — conf
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures.
LAW@ACL
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa A. Olivetti
2019 J jnl
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures.
CoRR
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa A. Olivetti
2018 J jnl
Toward Abstractive Summarization Using Semantic Representations.
CoRR
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith
2016 — conf
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss.
SemEval@NAACL-HLT
Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell
2016 — conf
Generation from Abstract Meaning Representation using Tree Transducers.
HLT-NAACL
Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell
2015 — conf
The Logic of AMR: Practical, Unified, Graph-Based Sentence Semantics for NLP.
HLT-NAACL
Nathan Schneider, Jeffrey Flanigan, Tim O'Gorman
2015 — conf
Toward Abstractive Summarization Using Semantic Representations.
HLT-NAACL
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith
2014 — conf
A Discriminative Graph-Based Parser for the Abstract Meaning Representation.
ACL (1)
Jeffrey Flanigan, Sam Thomson, Jaime G. Carbonell, Chris Dyer, Noah A. Smith
2014 — conf
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing.
SemEval@COLING
Sam Thomson, Brendan O'Connor, Jeffrey Flanigan, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer, Noah A. Smith
2013 — conf
Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search.
HLT-NAACL
Jeffrey Flanigan, Chris Dyer, Jaime G. Carbonell
2011 — conf
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments.
ACL (2)
Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith