← Authors

Jeffrey Flanigan

28 papers · 2011–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (14) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (10) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (93) ⚑ Prolific Year (6) πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (5) ❓ The Questioner

Conferences

ACL (10) NAACL (6) EMNLP (4) SEMEVAL (2) AAAI (1) COLING (1) ICLR (1) ICML (1) IJCNLP (1) NIPS (1)

Top co-authors

Noah A. Smith (6) Chris Dyer (5) Jaime Carbonell (4) Changmao Li (4) Nathan Schneider (4) Sam Thomson (3) Martha Palmer (3) Tim O’Gorman (3) Brendan King (3) Nianwen Xue (2)

Keywords

large language model (5) semantic parsing (4) abstract meaning representation (4) zero-shot learning (3) amr-to-text generation (2) text representation (2) in-context learning (2) knowledge graph (2) downstream task (2) language model (2) coreference resolution (2) retrieval augmentation (2) data augmentation (2) dialogue state tracking (2) few-shot learning (2) semantic annotation (2) text generation (1) neural machine translation (1) knowledge editing (1) prompt engineering (1)

Papers

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages ACL 2025
In Search of the Lost Arch in Dialogue: A Dependency Dialogue Acts Corpus for Multi-Party Dialogues ACL 2025
LiDARR: Linking Document AMRs with Referents Resolvers ACL 2025
SYNTHVERIFY: Enhancing Zero-Shot Claim Verification through Step-by-Step Synthetic Data Generation ACL 2025
RAC: Efficient LLM Factuality Correction with Retrieval Augmentation EMNLP 2025
Residual Matrix Transformers: Scaling the Size of the Residual Stream ICML 2025
Task Contamination: Language Models May Not Be Few-Shot Anymore AAAI 2024
Large Language Model Unlearning via Embedding-Corrupted Prompts NIPS 2024
Future Language Modeling from Temporal Document History ICLR 2024
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel EMNLP 2024
Meaning Representations for Natural Languages: Design, Models and Applications COLING 2024
Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking ACL 2023
Automatic Identification of Code-Switching Functions in Speech Transcripts ACL 2023
FigurativeQA: A Test Benchmark for Figurativeness Comprehension for Question Answering EMNLP 2022
Meaning Representations for Natural Languages: Design, Models and Applications EMNLP 2022
DocAMR: Multi-Sentence AMR Representation and Evaluation NAACL 2022
Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers NAACL 2022
Avoiding Overlap in Data Augmentation for AMR-to-Text Generation IJCNLP 2021
Avoiding Overlap in Data Augmentation for AMR-to-Text Generation ACL 2021
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures ACL 2019
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss SEMEVAL 2016
Generation from Abstract Meaning Representation using Tree Transducers NAACL 2016
The Logic of AMR: Practical, Unified, Graph-Based Sentence Semantics for NLP NAACL 2015
Toward Abstractive Summarization Using Semantic Representations NAACL 2015
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing SEMEVAL 2014
A Discriminative Graph-Based Parser for the Abstract Meaning Representation ACL 2014
Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search NAACL 2013
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments ACL 2011