Greg Durrett
111 papers · 2011–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Academic Marathon (14)
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Conference Loyalist
(27)
π
Keyword Trendsetter Combo
(3)
π
Grand Slam
π€
Dynamic Duo
(13)
π¬
Deep Specialist
(15)
π
Keyword Champion
(2)
π
Trend Setter
π
Conference Pioneer
β‘
Prolific Year
(11)
ποΈ
Keyword Collector
(397)
β
The Questioner
(7)
π
Century Club
(111)
π₯
Unstoppable
(15)
Conferences
EMNLP (39)
ACL (27)
NAACL (18)
IJCNLP (8)
EACL (5)
ICLR (5)
NIPS (4)
AAAI (2)
CONLL (2)
ICML (1)
Top co-authors
Keywords
question answering
(13)
text summarization
(10)
language model
(10)
large language model
(10)
text generation
(9)
natural language inference
(7)
neural network
(7)
domain adaptation
(6)
abstractive summarization
(6)
text classification
(5)
in-context learning
(5)
deductive reasoning
(4)
textual entailment
(4)
few-shot learning
(4)
prompt engineering
(4)
entity typing
(4)
representation learning
(4)
fine-grained entity typing
(4)
question generation
(3)
fine-grained classification
(3)
Papers
From Distributional to Overton Pluralism: Investigating Large Language Model Alignment
NAACL 2025
Causal Graph based Event Reasoning using Semantic Relation Experts
ACL 2025
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
ICLR 2025
Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding
EMNLP 2025
Understanding Synthetic Context Extension via Retrieval Heads
ICML 2025
Contrastive Learning to Improve Retrieval for Real-World Fact Checking
EMNLP 2024
Learning to Refine with Fine-Grained Natural Language Feedback
EMNLP 2024
Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification
EMNLP 2024
Which questions should I answer? Salience Prediction of Inquisitive Questions
EMNLP 2024
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
EMNLP 2024
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
EMNLP 2024
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs
NAACL 2024
LoFiT: Localized Fine-tuning on LLM Representations
NIPS 2024
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing
ICLR 2024
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
ICLR 2024
Complex Claim Verification with Evidence Retrieved in the Wild
NAACL 2024
Deductive Additivity for Planning of Natural Language Proofs
ACL 2023
SAGEViz: SchemA GEneration and Visualization
EMNLP 2023
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation
CONLL 2023
QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing
EMNLP 2023
WiCE: Real-World Entailment for Claims in Wikipedia
EMNLP 2023
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization
EACL 2023
Assessing Out-of-Domain Language Model Performance from Few Examples
EACL 2023
Modeling Complex Event Scenarios via Simple Entity-focused Questions
EACL 2023
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting
EMNLP 2023
TypeT5: Seq2seq Type Inference using Static Analysis
ICLR 2023
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation
EMNLP 2023
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
NIPS 2023
Propagating Knowledge Updates to LMs Through Distillation
NIPS 2023
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
ACL 2023
EEL: Efficiently Encoding Lattices for Reranking
ACL 2023
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors
ACL 2023
Complementary Explanations for Effective In-Context Learning
ACL 2023
Prompted Opinion Summarization with GPT-3.5
ACL 2023
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion
ACL 2023
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses
ACL 2023
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning
NIPS 2022
Can Explanations Be Useful for Calibrating Black Box Models?
ACL 2022
ASPECTNEWS: Aspect-Oriented Summarization of News Documents
ACL 2022
Training Dynamics for Text Summarization Models
ACL 2022
EchoGen: Generating Conclusions from Echocardiogram Notes
ACL 2022
SNaC: Coherence Error Detection for Narrative Summarization
EMNLP 2022
Generating Literal and Implied Subquestions to Fact-check Complex Claims
EMNLP 2022
Natural Language Deduction with Incomplete Information
EMNLP 2022
Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections
EMNLP 2022
FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation
EMNLP 2022
Natural Language Deduction through Search over Statement Compositions
EMNLP 2022
Massive-scale Decoding for Text Generation using Lattices
NAACL 2022
Entity Cloze By Date: What LMs Know About Unseen Entities
NAACL 2022
Donβt Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models
IJCNLP 2021
Effective Distant Supervision for Temporal Relation Extraction
EACL 2021
Model Agnostic Answer Reranking System for Adversarial Question Answering
EACL 2021
Conditional Generation of Temporally-ordered Event Sequences
IJCNLP 2021
Donβt Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models
ACL 2021
Conditional Generation of Temporally-ordered Event Sequences
ACL 2021
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
ACL 2021
Modeling Fine-Grained Entity Types with Box Embeddings
ACL 2021
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals
EMNLP 2021
Flexible Generation of Natural Language Deductions
EMNLP 2021
Optimal Neural Program Synthesis from Multimodal Specifications
EMNLP 2021
Can NLI Models Verify QA Systemsβ Predictions?
EMNLP 2021
Annotating and Modeling Fine-grained Factuality in Summarization
NAACL 2021
Did they answer? Subjective acts and intents in conversational discourse
NAACL 2021
Contemporary NLP Modeling in Six Comprehensive Programming Assignments
NAACL 2021
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
IJCNLP 2021
Modeling Fine-Grained Entity Types with Box Embeddings
IJCNLP 2021
Robust Question Answering Through Sub-part Alignment
NAACL 2021
Compressive Summarization with Plausibility and Salience Modeling
EMNLP 2020
LambdaNet: Probabilistic Type Inference using Graph Neural Networks
ICLR 2020
Inquisitive Question Generation for High Level Text Comprehension
EMNLP 2020
Interpretable Entity Representations through Large-Scale Typing
EMNLP 2020
Evaluating Factuality in Generation with Dependency-level Entailment
EMNLP 2020
Byte Pair Encoding is Suboptimal for Language Model Pretraining
EMNLP 2020
Fine-Grained Entity Typing for Domain Independent Entity Linking
AAAI 2020
Calibration of Pre-trained Transformers
EMNLP 2020
Benchmarking Multimodal Regex Synthesis with Complex Structures
ACL 2020
Neural Syntactic Preordering for Controlled Paraphrase Generation
ACL 2020
Understanding Neural Abstractive Summarization Models via Uncertainty
EMNLP 2020
Query-focused Scenario Construction
IJCNLP 2019
Domain Agnostic Real-Valued Specificity Prediction
AAAI 2019
Embedding Time Expressions for Deep Temporal Ordering Models
ACL 2019
Evaluating Discourse in Structured Text Representations
ACL 2019
Effective Use of Transformer Networks for Entity Tracking
IJCNLP 2019
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
EMNLP 2019
Neural Extractive Text Summarization with Syntactic Compression
IJCNLP 2019
Tracking Discrete and Continuous Entity State for Process Understanding
NAACL 2019
Learning to Denoise Distantly-Labeled Data for Entity Typing
NAACL 2019
Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation
NAACL 2019
Understanding Dataset Design Choices for Multi-hop Reasoning
NAACL 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
NAACL 2019
Effective Use of Transformer Networks for Entity Tracking
EMNLP 2019
Query-focused Scenario Construction
EMNLP 2019
Neural Extractive Text Summarization with Syntactic Compression
EMNLP 2019
Picking Apart Story Salads
EMNLP 2018
Spherical Latent Spaces for Stable Variational Autoencoders
EMNLP 2018
Modeling Semantic Plausibility by Injecting World Knowledge
NAACL 2018
Effective Use of Context in Noisy Entity Linking
EMNLP 2018
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation
EMNLP 2017
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks
NAACL 2016
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
ACL 2016
Disfluency Detection with a Semi-Markov Model and Prosodic Features
NAACL 2015
Neural CRF Parsing
ACL 2015
Neural CRF Parsing
IJCNLP 2015
Less Grammar, More Features
ACL 2014
Supervised Learning of Complete Morphological Paradigms
NAACL 2013
Easy Victories and Uphill Battles in Coreference Resolution
EMNLP 2013
Unsupervised Transcription of Historical Documents
ACL 2013
Decentralized Entity-Level Modeling for Coreference Resolution
ACL 2013
Syntactic Transfer Using a Bilingual Lexicon
CONLL 2012
Syntactic Transfer Using a Bilingual Lexicon
EMNLP 2012
An Empirical Investigation of Discounting in Cross-Domain Language Models
ACL 2011