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Jeffrey Flanigan
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2020 – today
- 2024
- [j1]Sidney K. D'Mello, Quentin Biddy, Thomas Breideband, Jeffrey B. 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:
From learning optimization to learner flourishing: Reimagining AI in Education at the Institute for Student-AI Teaming (iSAT). AI Mag. 45(1): 61-68 (2024) - [c19]Changmao Li, Jeffrey Flanigan:
Task Contamination: Language Models May Not Be Few-Shot Anymore. AAAI 2024: 18471-18480 - [c18]Brendan King, Jeffrey Flanigan:
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel. EMNLP 2024: 8283-8300 - [c17]Changmao Li, Jeffrey Flanigan:
Future Language Modeling from Temporal Document History. ICLR 2024 - [i17]Changmao Li, Jeffrey Flanigan:
Future Language Modeling from Temporal Document History. CoRR abs/2404.10297 (2024) - [i16]Brendan King, Jeffrey Flanigan:
The Power of the Noisy Channel: Unsupervised End-to-End Task-Oriented Dialogue with LLMs. CoRR abs/2404.15219 (2024) - [i15]Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu:
Large Language Model Unlearning via Embedding-Corrupted Prompts. CoRR abs/2406.07933 (2024) - [i14]Changmao Li, Jeffrey Flanigan:
RAC: Efficient LLM Factuality Correction with Retrieval Augmentation. CoRR abs/2410.15667 (2024) - 2023
- [c16]Brendan King, Jeffrey Flanigan:
Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking. ACL (Findings) 2023: 5570-5585 - [c15]Ritu Belani, Jeffrey Flanigan:
Automatic Identification of Code-Switching Functions in Speech Transcripts. ACL (Findings) 2023: 7438-7448 - [c14]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:
Navigating Wanderland: Highlighting Off-Task Discussions in Classrooms. AIED 2023: 727-732 - [c13]Nilay Patel, Jeffrey Flanigan:
Forming Trees with Treeformers. RANLP 2023: 836-845 - [c12]Geetanjali Rakshit, Jeffrey Flanigan:
Does the "Most Sinfully Decadent Cake Ever" Taste Good? Answering Yes/No Questions from Figurative Contexts. RANLP 2023: 926-936 - [i13]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:
Dependency Dialogue Acts - Annotation Scheme and Case Study. CoRR abs/2302.12944 (2023) - [i12]Brendan King, Jeffrey Flanigan:
Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking. CoRR abs/2307.01453 (2023) - [i11]Geetanjali Rakshit, Jeffrey Flanigan:
Does the "most sinfully decadent cake ever" taste good? Answering Yes/No Questions from Figurative Contexts. CoRR abs/2309.13748 (2023) - [i10]Nilay Patel, Rahul Saha, Jeffrey Flanigan:
A New Approach Towards Autoformalization. CoRR abs/2310.07957 (2023) - [i9]Chris Yuhao Liu, Jeffrey Flanigan:
Understanding the Role of Optimization in Double Descent. CoRR abs/2312.03951 (2023) - [i8]Changmao Li, Jeffrey Flanigan:
Task Contamination: Language Models May Not Be Few-Shot Anymore. CoRR abs/2312.16337 (2023) - 2022
- [c11]Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-Suk Lee, Jeffrey Flanigan, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider:
DocAMR: Multi-Sentence AMR Representation and Evaluation. NAACL-HLT 2022: 3496-3505 - [i7]Nilay Patel, Jeffrey Flanigan:
Forming Trees with Treeformers. CoRR abs/2207.06960 (2022) - [i6]Ritu Belani, Jeffrey Flanigan:
Automatic Identification of Motivation for Code-Switching in Speech Transcripts. CoRR abs/2212.08565 (2022) - 2021
- [c10]Wenchao Du, Jeffrey Flanigan:
Avoiding Overlap in Data Augmentation for AMR-to-Text Generation. ACL/IJCNLP (2) 2021: 1043-1048 - [i5]Geetanjali Rakshit, Jeffrey Flanigan:
ASQ: Automatically Generating Question-Answer Pairs using AMRs. CoRR abs/2105.10023 (2021) - [i4]Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-Suk Lee, Jeffrey Flanigan, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider:
DocAMR: Multi-Sentence AMR Representation and Evaluation. CoRR abs/2112.08513 (2021) - 2020
- [i3]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:
Athena: Constructing Dialogues Dynamically with Discourse Constraints. CoRR abs/2011.10683 (2020)
2010 – 2019
- 2019
- [c9]Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti:
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. LAW@ACL 2019: 56-64 - [i2]Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti:
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. CoRR abs/1905.06939 (2019) - 2018
- [i1]Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith:
Toward Abstractive Summarization Using Semantic Representations. CoRR abs/1805.10399 (2018) - 2016
- [c8]Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell:
Generation from Abstract Meaning Representation using Tree Transducers. HLT-NAACL 2016: 731-739 - [c7]Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell:
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss. SemEval@NAACL-HLT 2016: 1202-1206 - 2015
- [c6]Nathan Schneider, Jeffrey Flanigan, Tim O'Gorman:
The Logic of AMR: Practical, Unified, Graph-Based Sentence Semantics for NLP. HLT-NAACL 2015: 4-5 - [c5]Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith:
Toward Abstractive Summarization Using Semantic Representations. HLT-NAACL 2015: 1077-1086 - 2014
- [c4]Jeffrey Flanigan, Sam Thomson, Jaime G. Carbonell, Chris Dyer, Noah A. Smith:
A Discriminative Graph-Based Parser for the Abstract Meaning Representation. ACL (1) 2014: 1426-1436 - [c3]Sam Thomson, Brendan O'Connor, Jeffrey Flanigan, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer, Noah A. Smith:
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing. SemEval@COLING 2014: 176-180 - 2013
- [c2]Jeffrey Flanigan, Chris Dyer, Jaime G. Carbonell:
Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search. HLT-NAACL 2013: 248-258 - 2011
- [c1]Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith:
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. ACL (2) 2011: 42-47
Coauthor Index
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last updated on 2025-01-09 13:18 CET by the dblp team
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