NLPExplorer

Luke Zettlemoyer

Number of Papers:- 161

Number of Citations:- 1393

First ACL Paper:- 2007

Latest ACL Paper:- 2024

Venues:-

KnowledgeNLP

NAACL

CoNLL

COLING

EMNLP

Findings

LREC

TACL

ACL

EACL

WMT

*SEMEVAL

IJCNLP

Co-Authors:-

Aakanksha Naik

Abdelrahman Mohamed

Abhilasha Ravichander

Abhinandan Krishnan

Adina Williams

Similar Authors:-

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding NAACL

Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models EACL

Haoqiang Kang | Terra Blevins | Luke Zettlemoyer |

REPLUG: Retrieval-Augmented Black-Box Language Models NAACL

Proceedings of the 3rd Workshop on Knowledge Augmented Methods for NLP KnowledgeNLP WS

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants ACL

MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling ACL

OLMo: Accelerating the Science of Language Models ACL

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ACL

CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation EMNLP

Better Alignment with Instruction Back-and-Forth Translation F i n d i n g s - E M N L P

Altogether: Image Captioning via Re-aligning Alt-text EMNLP

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models EMNLP

The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages WMT

Toward Human Readable Prompt Tuning: Kubrick’s The Shining is a good movie, and a good prompt too? F i n d i n g s - E M N L P

In-context Examples Selection for Machine Translation F i n d i n g s - A C L

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models EMNLP

Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations ACL

Questions Are All You Need to Train a Dense Passage Retriever TACL

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters ACL

Demystifying Prompts in Language Models via Perplexity Estimation F i n d i n g s - E M N L P

Nonparametric Masked Language Modeling F i n d i n g s - A C L

RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering F i n d i n g s - E M N L P

Victor Zhong | Weijia Shi | Wen-tau Yih | Luke Zettlemoyer |

Prompting Language Models for Linguistic Structure ACL

Terra Blevins | Hila Gonen | Luke Zettlemoyer |

Getting MoRE out of Mixture of Language Model Reasoning Experts F i n d i n g s - E M N L P

Revisiting Machine Translation for Cross-lingual Classification EMNLP

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation EMNLP

One Embedder, Any Task: Instruction-Finetuned Text Embeddings F i n d i n g s - A C L

Contrastive Decoding: Open-ended Text Generation as Optimization ACL

CREPE: Open-Domain Question Answering with False Presuppositions ACL

Xinyan Yu | Sewon Min | Luke Zettlemoyer | Hannaneh Hajishirzi |

Training Trajectories of Language Models Across Scales ACL

Prompt-free and Efficient Few-shot Learning with Language Models ACL

FaVIQ: FAct Verification from Information-seeking Questions ACL

Question Answering Infused Pre-training of General-Purpose Contextualized Representations ACL Findings

Robin Jia | Mike Lewis | Luke Zettlemoyer |

Noisy Channel Language Model Prompting for Few-Shot Text Classification ACL

Sewon Min | Mike Lewis | Hannaneh Hajishirzi | Luke Zettlemoyer |

Multilingual Autoregressive Entity Linking TACL

BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation Findings NAACL

Eleftheria Briakou | Sida Wang | Luke Zettlemoyer | Marjan Ghazvininejad |

MetaICL: Learning to Learn In Context NAACL

Sewon Min | Mike Lewis | Luke Zettlemoyer | Hannaneh Hajishirzi |

Quantifying Adaptability in Pre-trained Language Models with 500 Tasks NAACL

DEMix Layers: Disentangling Domains for Modular Language Modeling NAACL

Efficient Large Scale Language Modeling with Mixtures of Experts EMNLP

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models EMNLP

Improving Passage Retrieval with Zero-Shot Question Generation EMNLP

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP

Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models EMNLP

Terra Blevins | Hila Gonen | Luke Zettlemoyer |

Language Contamination Helps Explains the Cross-lingual Capabilities of English Pretrained Models EMNLP

Terra Blevins | Luke Zettlemoyer |

Natural Language to Code Translation with Execution EMNLP

Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection EMNLP

On the Role of Bidirectionality in Language Model Pre-Training F i n d i n g s - E M N L P

CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation F i n d i n g s - E M N L P

Tanay Dixit | Bhargavi Paranjape | Hannaneh Hajishirzi | Luke Zettlemoyer |

Few-shot Learning with Multilingual Generative Language Models EMNLP

Nearest Neighbor Zero-Shot Inference EMNLP

Weijia Shi | Julian Michael | Suchin Gururangan | Luke Zettlemoyer |

M2D2: A Massively Multi-Domain Language Modeling Dataset EMNLP

Machel Reid | Victor Zhong | Suchin Gururangan | Luke Zettlemoyer |

FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary EACL

Terra Blevins | Mandar Joshi | Luke Zettlemoyer |

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies NAACL

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL IJCNLP

Armen Aghajanyan | Sonal Gupta | Luke Zettlemoyer |

Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment ACL IJCNLP

Haoyue Shi | Luke Zettlemoyer | Sida I. Wang |

DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions ACL IJCNLP

Weijia Shi | Mandar Joshi | Luke Zettlemoyer |

Detecting Hallucinated Content in Conditional Neural Sequence Generation Findings

VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding EMNLP

Inducing Semantic Roles Without Syntax Findings

Julian Michael | Luke Zettlemoyer |

Muppet: Massive Multi-task Representations with Pre-Finetuning EMNLP

VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding Findings

Prompting Contrastive Explanations for Commonsense Reasoning Tasks Findings

Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right EMNLP

Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders ACL

Terra Blevins | Luke Zettlemoyer |

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension ACL

Unsupervised Cross-lingual Representation Learning at Scale ACL

Emerging Cross-lingual Structure in Pretrained Language Models ACL

Simple and Effective Retrieve-Edit-Rerank Text Generation ACL

Nabil Hossain | Marjan Ghazvininejad | Luke Zettlemoyer |

Controlled Crowdsourcing for High-Quality QA-SRL Annotation ACL

Active Learning for Coreference Resolution using Discrete Annotation ACL

Belinda Z. Li | Gabriel Stanovsky | Luke Zettlemoyer |

QANom: Question-Answer driven SRL for Nominalizations COLING

Scalable Zero-shot Entity Linking with Dense Entity Retrieval EMNLP

Grounded Adaptation for Zero-shot Executable Semantic Parsing EMNLP

Victor Zhong | Mike Lewis | Sida I. Wang | Luke Zettlemoyer |

Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing EMNLP

SpanBERT: Improving Pre-training by Representing and Predicting Spans TACL

Multilingual Denoising Pre-training for Neural Machine Translation TACL

An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction EMNLP

AmbigQA: Answering Ambiguous Open-domain Questions EMNLP

Sewon Min | Julian Michael | Hannaneh Hajishirzi | Luke Zettlemoyer |

Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles EMNLP Findings

Christopher Clark | Mark Yatskar | Luke Zettlemoyer |

Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog EMNLP

A Discrete Hard EM Approach for Weakly Supervised Question Answering EMNLP

Sewon Min | Danqi Chen | Hannaneh Hajishirzi | Luke Zettlemoyer |

Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases EMNLP

Christopher Clark | Mark Yatskar | Luke Zettlemoyer |

Cloze-driven Pretraining of Self-attention Networks EMNLP

Learning Programmatic Idioms for Scalable Semantic Parsing EMNLP

Srinivasan Iyer | Alvin Cheung | Luke Zettlemoyer |

JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation EMNLP

Rajas Agashe | Srinivasan Iyer | Luke Zettlemoyer |

BERT for Coreference Resolution: Baselines and Analysis EMNLP

Mandar Joshi | Omer Levy | Luke Zettlemoyer | Daniel Weld |

Mask-Predict: Parallel Decoding of Conditional Masked Language Models EMNLP

Marjan Ghazvininejad | Omer Levy | Yinhan Liu | Luke Zettlemoyer |

Iterative Search for Weakly Supervised Semantic Parsing NAACL

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference NAACL

Better Character Language Modeling through Morphology ACL

Terra Blevins | Luke Zettlemoyer |

Evaluating Gender Bias in Machine Translation ACL

Gabriel Stanovsky | Noah A. Smith | Luke Zettlemoyer |

E3: Entailment-driven Extracting and Editing for Conversational Machine Reading ACL

Victor Zhong | Luke Zettlemoyer |

Compositional Questions Do Not Necessitate Multi-hop Reasoning ACL

The Referential Reader: A Recurrent Entity Network for Anaphora Resolution ACL

Fei Liu | Luke Zettlemoyer | Jacob Eisenstein |

Multi-hop Reading Comprehension through Question Decomposition and Rescoring ACL

Sewon Min | Victor Zhong | Luke Zettlemoyer | Hannaneh Hajishirzi |

SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach EMNLP

Michael Petrochuk | Luke Zettlemoyer |

Neural Metaphor Detection in Context EMNLP

Ge Gao | Eunsol Choi | Yejin Choi | Luke Zettlemoyer |

Dissecting Contextual Word Embeddings: Architecture and Representation EMNLP

Matthew Peters | Mark Neumann | Luke Zettlemoyer | Wen-tau Yih |

Mapping Language to Code in Programmatic Context EMNLP

Srinivasan Iyer | Ioannis Konstas | Alvin Cheung | Luke Zettlemoyer |

QuAC: Question Answering in Context EMNLP

Syntactic Scaffolds for Semantic Structures EMNLP

NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System LREC

Xi Victoria Lin | Chenglong Wang | Luke Zettlemoyer | Michael D. Ernst |

Supervised Open Information Extraction NAACL

Gabriel Stanovsky | Julian Michael | Luke Zettlemoyer | Ido Dagan |

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks NAACL

Mohit Iyyer | John Wieting | Kevin Gimpel | Luke Zettlemoyer |

Deep Contextualized Word Representations NAACL

Crowdsourcing Question-Answer Meaning Representations NAACL

Higher-Order Coreference Resolution with Coarse-to-Fine Inference NAACL

Kenton Lee | Luheng He | Luke Zettlemoyer |

Ultra-Fine Entity Typing ACL

Eunsol Choi | Omer Levy | Yejin Choi | Luke Zettlemoyer |

Large-Scale QA-SRL Parsing ACL

Nicholas FitzGerald | Julian Michael | Luheng He | Luke Zettlemoyer |

Deep RNNs Encode Soft Hierarchical Syntax ACL

Terra Blevins | Omer Levy | Luke Zettlemoyer |

Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling ACL

Luheng He | Kenton Lee | Omer Levy | Luke Zettlemoyer |

Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum ACL

Omer Levy | Kenton Lee | Nicholas FitzGerald | Luke Zettlemoyer |

Neural Semantic Parsing ACL

AllenNLP: A Deep Semantic Natural Language Processing Platform ACL WS

End-to-end Neural Coreference Resolution EMNLP

Kenton Lee | Luheng He | Mike Lewis | Luke Zettlemoyer |

Zero-Shot Relation Extraction via Reading Comprehension CoNLL

Omer Levy | Minjoon Seo | Eunsol Choi | Luke Zettlemoyer |

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation ACL

Deep Semantic Role Labeling: What Works and What’s Next ACL

Luheng He | Kenton Lee | Mike Lewis | Luke Zettlemoyer |

Learning a Neural Semantic Parser from User Feedback ACL

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension ACL

Mandar Joshi | Eunsol Choi | Daniel Weld | Luke Zettlemoyer |

Globally Coherent Text Generation with Neural Checklist Models EMNLP

Chloé Kiddon | Luke Zettlemoyer | Yejin Choi |

A Theme-Rewriting Approach for Generating Algebra Word Problems EMNLP

Rik Koncel-Kedziorski | Ioannis Konstas | Luke Zettlemoyer | Hannaneh Hajishirzi |

Human-in-the-Loop Parsing EMNLP

Luheng He | Julian Michael | Mike Lewis | Luke Zettlemoyer |

Global Neural CCG Parsing with Optimality Guarantees EMNLP

Kenton Lee | Mike Lewis | Luke Zettlemoyer |

LSTM CCG Parsing NAACL

Mike Lewis | Kenton Lee | Luke Zettlemoyer |

Document-level Sentiment Inference with Social, Faction, and Discourse Context ACL

Eunsol Choi | Hannah Rashkin | Luke Zettlemoyer | Yejin Choi |

Summarizing Source Code using a Neural Attention Model ACL

Srinivasan Iyer | Ioannis Konstas | Alvin Cheung | Luke Zettlemoyer |

Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods WS

Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language EMNLP

Luheng He | Mike Lewis | Luke Zettlemoyer |

Mise en Place: Unsupervised Interpretation of Instructional Recipes EMNLP

Chloé Kiddon | Ganesa Thandavam Ponnuraj | Luke Zettlemoyer | Yejin Choi |

Joint A* CCG Parsing and Semantic Role Labelling EMNLP

Mike Lewis | Luheng He | Luke Zettlemoyer |

Event Detection and Factuality Assessment with Non-Expert Supervision EMNLP

Kenton Lee | Yoav Artzi | Yejin Choi | Luke Zettlemoyer |

Broad-coverage CCG Semantic Parsing with AMR EMNLP

Yoav Artzi | Kenton Lee | Luke Zettlemoyer |

Scalable Semantic Parsing with Partial Ontologies ACL IJCNLP

Eunsol Choi | Tom Kwiatkowski | Luke Zettlemoyer |

Morpho-syntactic Lexical Generalization for CCG Semantic Parsing EMNLP

Adrienne Wang | Tom Kwiatkowski | Luke Zettlemoyer |

Learning to Automatically Solve Algebra Word Problems ACL

Nate Kushman | Yoav Artzi | Luke Zettlemoyer | Regina Barzilay |

Context-dependent Semantic Parsing for Time Expressions ACL

Kenton Lee | Yoav Artzi | Jesse Dodge | Luke Zettlemoyer |

See No Evil, Say No Evil: Description Generation from Densely Labeled Images *SEMEVAL

Mark Yatskar | Michel Galley | Lucy Vanderwende | Luke Zettlemoyer |

Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves EMNLP

Hannaneh Hajishirzi | Leila Zilles | Daniel S. Weld | Luke Zettlemoyer |

Automatic Idiom Identification in Wiktionary EMNLP

Grace Muzny | Luke Zettlemoyer |

Scaling Semantic Parsers with On-the-Fly Ontology Matching EMNLP

Tom Kwiatkowski | Eunsol Choi | Yoav Artzi | Luke Zettlemoyer |

Learning Distributions over Logical Forms for Referring Expression Generation EMNLP

Nicholas FitzGerald | Yoav Artzi | Luke Zettlemoyer |

Learning to Relate Literal and Sentimental Descriptions of Visual Properties NAACL

Paraphrase-Driven Learning for Open Question Answering ACL

Anthony Fader | Luke Zettlemoyer | Oren Etzioni |

Lightly Supervised Learning of Procedural Dialog Systems ACL

Semantic Parsing with Combinatory Categorial Grammars ACL

Yoav Artzi | Nicholas FitzGerald | Luke Zettlemoyer |

Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions TACL

Yoav Artzi | Luke Zettlemoyer |

Modeling Missing Data in Distant Supervision for Information Extraction TACL

Alan Ritter | Luke Zettlemoyer | Mausam | Oren Etzioni |

A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their Meanings EACL

Tom Kwiatkowski | Sharon Goldwater | Luke Zettlemoyer | Mark Steedman |

Discriminative Learning for Joint Template Filling ACL

Einat Minkov | Luke Zettlemoyer |

Bootstrapping Semantic Parsers from Conversations EMNLP

Yoav Artzi | Luke Zettlemoyer |

Lexical Generalization in CCG Grammar Induction for Semantic Parsing EMNLP

Tom Kwiatkowski | Luke Zettlemoyer | Sharon Goldwater | Mark Steedman |

Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations ACL

Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification EMNLP

Tom Kwiatkowksi | Luke Zettlemoyer | Sharon Goldwater | Mark Steedman |

Reading between the Lines: Learning to Map High-Level Instructions to Commands ACL

S.R.K. Branavan | Luke Zettlemoyer | Regina Barzilay |

Reinforcement Learning for Mapping Instructions to Actions ACL IJCNLP

S.R.K. Branavan | Harr Chen | Luke Zettlemoyer | Regina Barzilay |

Learning Context-Dependent Mappings from Sentences to Logical Form ACL IJCNLP

Luke Zettlemoyer | Michael Collins |

A Generative Model for Parsing Natural Language to Meaning Representations EMNLP

Wei Lu | Hwee Tou Ng | Wee Sun Lee | Luke S. Zettlemoyer |

Online Learning of Relaxed CCG Grammars for Parsing to Logical Form CoNLL EMNLP

Luke Zettlemoyer | Michael Collins |

Selective Phrase Pair Extraction for Improved Statistical Machine Translation NAACL

Luke Zettlemoyer | Robert Moore |