Greg Durrett

Orcid: 0000-0002-7061-7298

According to our database1, Greg Durrett authored at least 119 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Data Extraction via Semantic Regular Expression Synthesis.
Proc. ACM Program. Lang., October, 2023

Evaluating large language models on medical evidence summarization.
npj Digit. Medicine, 2023

A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation.
CoRR, 2023

MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning.
CoRR, 2023

A Long Way to Go: Investigating Length Correlations in RLHF.
CoRR, 2023

X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs.
CoRR, 2023

Deductive Additivity for Planning of Natural Language Proofs.
CoRR, 2023

Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing.
CoRR, 2023

Drafting Event Schemas using Language Models.
CoRR, 2023

Using Natural Language Explanations to Rescale Human Judgments.
CoRR, 2023

Complex Claim Verification with Evidence Retrieved in the Wild.
CoRR, 2023

Satisfiability-Aided Language Models Using Declarative Prompting.
CoRR, 2023

Explanation Selection Using Unlabeled Data for In-Context Learning.
CoRR, 2023

SatLM: Satisfiability-Aided Language Models Using Declarative Prompting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Propagating Knowledge Updates to LMs Through Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TypeT5: Seq2seq Type Inference using Static Analysis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

WiCE: Real-World Entailment for Claims in Wikipedia.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SAGEViz: SchemA GEneration and Visualization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Assessing Out-of-Domain Language Model Performance from Few Examples.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Modeling Complex Event Scenarios via Simple Entity-focused Questions.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Shortcomings of Question Answering Based Factuality Frameworks for Error Localization.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Complementary Explanations for Effective In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

EEL: Efficiently Encoding Lattices for Reranking.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Prompted Opinion Summarization with GPT-3.5.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Automated transpilation of imperative to functional code using neural-guided program synthesis.
Proc. ACM Program. Lang., 2022

Type-directed synthesis of visualizations from natural language queries.
Proc. ACM Program. Lang., 2022

Zero-Shot Opinion Summarization with GPT-3.
CoRR, 2022

News Summarization and Evaluation in the Era of GPT-3.
CoRR, 2022

The Unreliability of Explanations in Few-Shot In-Context Learning.
CoRR, 2022

Automated Transpilation of Imperative to Functional Code using Neural-Guided Program Synthesis (Extended Version).
CoRR, 2022

The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Massive-scale Decoding for Text Generation using Lattices.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Entity Cloze By Date: What LMs Know About Unseen Entities.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Natural Language Deduction with Incomplete Information.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SNaC: Coherence Error Detection for Narrative Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generating Literal and Implied Subquestions to Fact-check Complex Claims.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Natural Language Deduction through Search over Statement Compositions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

EchoGen: Generating Conclusions from Echocardiogram Notes.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

Can Explanations Be Useful for Calibrating Black Box Models?
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Training Dynamics for Text Summarization Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

ASPECTNEWS: Aspect-Oriented Summarization of News Documents.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Massive-scale Decoding for Text Generation using Lattices.
CoRR, 2021

Aspect-Oriented Summarization through Query-Focused Extraction.
CoRR, 2021

Cross-Lingual Fine-Grained Entity Typing.
CoRR, 2021

Making Document-Level Information Extraction Right for the Right Reasons.
CoRR, 2021

Flexible Operations for Natural Language Deduction.
CoRR, 2021

Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.
CoRR, 2021

Modeling Fine-Grained Entity Types with Box Embeddings.
CoRR, 2021

Web question answering with neurosymbolic program synthesis.
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Annotating and Modeling Fine-grained Factuality in Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Did they answer? Subjective acts and intents in conversational discourse.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Robust Question Answering Through Sub-part Alignment.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Connecting Attributions and QA Model Behavior on Realistic Counterfactuals.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Optimal Neural Program Synthesis from Multimodal Specifications.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Can NLI Models Verify QA Systems' Predictions?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Flexible Generation of Natural Language Deductions.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Model Agnostic Answer Reranking System for Adversarial Question Answering.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Modeling Fine-Grained Entity Types with Box Embeddings.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Conditional Generation of Temporally-ordered Event Sequences.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Sketch-Driven Regular Expression Generation from Natural Language and Examples.
Trans. Assoc. Comput. Linguistics, 2020

Effective Distant Supervision for Temporal Relation Extraction.
CoRR, 2020

Tradeoffs in Sentence Selection Techniques for Open-Domain Question Answering.
CoRR, 2020

Narrative Interpolation for Generating and Understanding Stories.
CoRR, 2020

Multi-modal synthesis of regular expressions.
Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020

LambdaNet: Probabilistic Type Inference using Graph Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Understanding Neural Abstractive Summarization Models via Uncertainty.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Interpretable Entity Representations through Large-Scale Typing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Inquisitive Question Generation for High Level Text Comprehension.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Evaluating Factuality in Generation with Dependency-level Entailment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Compressive Summarization with Plausibility and Salience Modeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Calibration of Pre-trained Transformers.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Byte Pair Encoding is Suboptimal for Language Model Pretraining.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Benchmarking Multimodal Regex Synthesis with Complex Structures.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Neural Syntactic Preordering for Controlled Paraphrase Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Fine-Grained Entity Typing for Domain Independent Entity Linking.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multi-hop Question Answering via Reasoning Chains.
CoRR, 2019

Learning to Denoise Distantly-Labeled Data for Entity Typing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Understanding Dataset Design Choices for Multi-hop Reasoning.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Neural Extractive Text Summarization with Syntactic Compression.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Query-focused Scenario Construction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Effective Use of Transformer Networks for Entity Tracking.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Embedding Time Expressions for Deep Temporal Ordering Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Evaluating Discourse in Structured Text Representations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Tracking Discrete and Continuous Entity State for Process Understanding.
Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, 2019

Domain Agnostic Real-Valued Specificity Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Modeling Semantic Plausibility by Injecting World Knowledge.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Spherical Latent Spaces for Stable Variational Autoencoders.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Picking Apart Story Salads.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Effective Use of Context in Noisy Entity Linking.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Tools for Automated Analysis of Cybercriminal Markets.
Proceedings of the 26th International Conference on World Wide Web, 2017

Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Identifying and Resolving Entities in Text.
PhD thesis, 2016

Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks.
Proceedings of the NAACL HLT 2016, 2016

Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Disfluency Detection with a Semi-Markov Model and Prosodic Features.
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

Neural CRF Parsing.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
A Joint Model for Entity Analysis: Coreference, Typing, and Linking.
Trans. Assoc. Comput. Linguistics, 2014

Less Grammar, More Features.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Supervised Learning of Complete Morphological Paradigms.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Easy Victories and Uphill Battles in Coreference Resolution.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Decentralized Entity-Level Modeling for Coreference Resolution.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Unsupervised Transcription of Historical Documents.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Syntactic Transfer Using a Bilingual Lexicon.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics.
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

An Empirical Investigation of Discounting in Cross-Domain Language Models.
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

2010
A Genetic Algorithm to Minimize Chromatic Entropy.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2010


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