Greg Durrett

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

Achievements

🏃 Academic Marathon (14) 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🏠 Conference Loyalist (27) 🌟 Keyword Trendsetter Combo (3) 🏆 Grand Slam 🤝 Dynamic Duo (13) 🔬 Deep Specialist (15) 🏆 Keyword Champion (2) 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year (11) 🗃️ Keyword Collector (397) ❓ The Questioner (7) 💎 Century Club (111) 🔥 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

Xi Ye (13) Jiacheng Xu (13) Junyi Jessy Li (13) Dan Klein (12) Tanya Goyal (11) Yasumasa Onoe (9) Eunsol Choi (8) Katrin Erk (8) Nathanael Chambers (7) Kaj Bostrom (6)

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

Don’t 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

Don’t 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 Systems’ 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