| 2026 | ITP | ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving. | Amitayush Thakur, George Tsoukalas, Greg Durrett, Swarat Chaudhuri |
| 2025 | ACL | Causal Graph based Event Reasoning using Semantic Relation Experts. | Mahnaz Koupaee, Xueying Bai, Mudan Chen, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian |
| 2025 | EMNLP | Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding. | Melanie Subbiah, Akankshya Mishra, Grace Kim, Liyan Tang, Greg Durrett, Kathleen McKeown |
| 2025 | ICLR | To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. | Zayne Rea Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett |
| 2025 | ICML | Understanding Synthetic Context Extension via Retrieval Heads. | Xinyu Zhao, Fangcong Yin, Greg Durrett |
| 2025 | NAACL | From Distributional to Overton Pluralism: Investigating Large Language Model Alignment. | Thom Lake, Eunsol Choi, Greg Durrett |
| 2024 | EMNLP | SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation. | Abhishek Divekar, Greg Durrett |
| 2024 | EMNLP | Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification. | Anisha Gunjal, Greg Durrett |
| 2024 | EMNLP | MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. | Liyan Tang, Philippe Laban, Greg Durrett |
| 2024 | EMNLP | Learning to Refine with Fine-Grained Natural Language Feedback. | Manya Wadhwa, Xinyu Zhao, Junyi Jessy Li, Greg Durrett |
| 2024 | EMNLP | Which questions should I answer? Salience Prediction of Inquisitive Questions. | Yating Wu, Ritika Mangla, Alex Dimakis, Greg Durrett, Junyi Jessy Li |
| 2024 | ICLR | MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. | Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett |
| 2024 | ICLR | Coeditor: Leveraging Repo-level Diffs for Code Auto-editing. | Jiayi Wei, Greg Durrett, Isil Dillig |
| 2024 | NAACL | Complex Claim Verification with Evidence Retrieved in the Wild. | Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi |
| 2024 | NAACL | X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs. | Juan Diego Rodriguez, Katrin Erk, Greg Durrett |
| 2023 | ACL | Prompted Opinion Summarization with GPT-3.5. | Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett |
| 2023 | ACL | Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion. | Wei-Jen Ko, Yating Wu, Cutter Dalton, Dananjay Srinivas, Greg Durrett, Junyi Jessy Li |
| 2023 | ACL | Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. | Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi |
| 2023 | ACL | EEL: Efficiently Encoding Lattices for Reranking. | Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett |
| 2023 | ACL | Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. | Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett |
| 2023 | ACL | Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. | Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau |
| 2023 | ACL | Complementary Explanations for Effective In-Context Learning. | Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru |
| 2023 | CoNLL | A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. | Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick |
| 2023 | EACL | Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. | Ryo Kamoi, Tanya Goyal, Greg Durrett |
| 2023 | EACL | Modeling Complex Event Scenarios via Simple Entity-focused Questions. | Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian |
| 2023 | EACL | Assessing Out-of-Domain Language Model Performance from Few Examples. | Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett |
| 2023 | EMNLP | SAGEViz: SchemA GEneration and Visualization. | Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian |
| 2023 | EMNLP | WiCE: Real-World Entailment for Claims in Wikipedia. | Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett |
| 2023 | EMNLP | QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing. | Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li |
| 2023 | EMNLP | Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting. | Xi Ye, Greg Durrett |
| 2023 | ICLR | TypeT5: Seq2seq Type Inference using Static Analysis. | Jiayi Wei, Greg Durrett, Isil Dillig |
| 2022 | ACL | ASPECTNEWS: Aspect-Oriented Summarization of News Documents. | Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett |
| 2022 | ACL | Training Dynamics for Text Summarization Models. | Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett |
| 2022 | ACL | Can Explanations Be Useful for Calibrating Black Box Models? | Xi Ye, Greg Durrett |
| 2022 | EMNLP | Natural Language Deduction through Search over Statement Compositions. | Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett |
| 2022 | EMNLP | Generating Literal and Implied Subquestions to Fact-check Complex Claims. | Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett |
| 2022 | EMNLP | SNaC: Coherence Error Detection for Narrative Summarization. | Tanya Goyal, Junyi Jessy Li, Greg Durrett |
| 2022 | EMNLP | FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation. | Tanya Goyal, Junyi Jessy Li, Greg Durrett |
| 2022 | EMNLP | Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections. | Wei-Jen Ko, Cutter Dalton, Mark Simmons, Eliza Fisher, Greg Durrett, Junyi Jessy Li |
| 2022 | EMNLP | Natural Language Deduction with Incomplete Information. | Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett |
| 2022 | NAACL | Entity Cloze By Date: What LMs Know About Unseen Entities. | Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett |
| 2022 | NAACL | Massive-scale Decoding for Text Generation using Lattices. | Jiacheng Xu, Siddhartha Jonnalagadda, Greg Durrett |
| 2021 | ACL | Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. | Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian |
| 2021 | ACL | Conditional Generation of Temporally-ordered Event Sequences. | Shih-Ting Lin, Nathanael Chambers, Greg Durrett |
| 2021 | ACL | Modeling Fine-Grained Entity Types with Box Embeddings. | Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett |
| 2021 | ACL | Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. | Jiacheng Xu, Greg Durrett |
| 2021 | EACL | Model Agnostic Answer Reranking System for Adversarial Question Answering. | Sagnik Majumder, Chinmoy Samant, Greg Durrett |
| 2021 | EMNLP | Flexible Generation of Natural Language Deductions. | Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett |
| 2021 | EMNLP | Can NLI Models Verify QA Systems' Predictions? | Jifan Chen, Eunsol Choi, Greg Durrett |
| 2021 | EMNLP | Optimal Neural Program Synthesis from Multimodal Specifications. | Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett |
| 2021 | EMNLP | Connecting Attributions and QA Model Behavior on Realistic Counterfactuals. | Xi Ye, Rohan Nair, Greg Durrett |
| 2021 | NAACL | Robust Question Answering Through Sub-part Alignment. | Jifan Chen, Greg Durrett |
| 2021 | NAACL | Did they answer? Subjective acts and intents in conversational discourse. | Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk |
| 2021 | NAACL | Annotating and Modeling Fine-grained Factuality in Summarization. | Tanya Goyal, Greg Durrett |
| 2021 | PLDI | Web question answering with neurosymbolic program synthesis. | Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang, Greg Durrett, Osbert Bastani, Isil Dillig |
| 2020 | AAAI | Fine-Grained Entity Typing for Domain Independent Entity Linking. | Yasumasa Onoe, Greg Durrett |
| 2020 | ACL | Neural Syntactic Preordering for Controlled Paraphrase Generation. | Tanya Goyal, Greg Durrett |
| 2020 | ACL | Benchmarking Multimodal Regex Synthesis with Complex Structures. | Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett |
| 2020 | EMNLP | Byte Pair Encoding is Suboptimal for Language Model Pretraining. | Kaj Bostrom, Greg Durrett |
| 2020 | EMNLP | Calibration of Pre-trained Transformers. | Shrey Desai, Greg Durrett |
| 2020 | EMNLP | Compressive Summarization with Plausibility and Salience Modeling. | Shrey Desai, Jiacheng Xu, Greg Durrett |
| 2020 | EMNLP | Evaluating Factuality in Generation with Dependency-level Entailment. | Tanya Goyal, Greg Durrett |
| 2020 | EMNLP | Inquisitive Question Generation for High Level Text Comprehension. | Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett, Junyi Jessy Li |
| 2020 | EMNLP | Interpretable Entity Representations through Large-Scale Typing. | Yasumasa Onoe, Greg Durrett |
| 2020 | EMNLP | Understanding Neural Abstractive Summarization Models via Uncertainty. | Jiacheng Xu, Shrey Desai, Greg Durrett |
| 2020 | ICLR | LambdaNet: Probabilistic Type Inference using Graph Neural Networks. | Jiayi Wei, Maruth Goyal, Greg Durrett, Isil Dillig |
| 2020 | PLDI | Multi-modal synthesis of regular expressions. | Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, Isil Dillig |
| 2019 | AAAI | Domain Agnostic Real-Valued Specificity Prediction. | Wei-Jen Ko, Greg Durrett, Junyi Jessy Li |
| 2019 | ACL | Evaluating Discourse in Structured Text Representations. | Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk |
| 2019 | ACL | Embedding Time Expressions for Deep Temporal Ordering Models. | Tanya Goyal, Greg Durrett |
| 2019 | EMNLP | Effective Use of Transformer Networks for Entity Tracking. | Aditya Gupta, Greg Durrett |
| 2019 | EMNLP | Query-focused Scenario Construction. | Su Wang, Greg Durrett, Katrin Erk |
| 2019 | EMNLP | Neural Extractive Text Summarization with Syntactic Compression. | Jiacheng Xu, Greg Durrett |
| 2019 | NAACL | Understanding Dataset Design Choices for Multi-hop Reasoning. | Jifan Chen, Greg Durrett |
| 2019 | NAACL | Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation. | Wei-Jen Ko, Greg Durrett, Junyi Jessy Li |
| 2019 | NAACL | Learning to Denoise Distantly-Labeled Data for Entity Typing. | Yasumasa Onoe, Greg Durrett |
| 2018 | EMNLP | Effective Use of Context in Noisy Entity Linking. | David Mueller, Greg Durrett |
| 2018 | EMNLP | Picking Apart Story Salads. | Su Wang, Eric Holgate, Greg Durrett, Katrin Erk |
| 2018 | EMNLP | Spherical Latent Spaces for Stable Variational Autoencoders. | Jiacheng Xu, Greg Durrett |
| 2018 | NAACL | Modeling Semantic Plausibility by Injecting World Knowledge. | Su Wang, Greg Durrett, Katrin Erk |
| 2017 | EMNLP | Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. | Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson |
| 2017 | WWW | Tools for Automated Analysis of Cybercriminal Markets. | Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson |
| 2016 | ACL | Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. | Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein |
| 2016 | NAACL | Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. | Matthew Francis-Landau, Greg Durrett, Dan Klein |
| 2015 | ACL | Neural CRF Parsing. | Greg Durrett, Dan Klein |
| 2015 | NAACL | Disfluency Detection with a Semi-Markov Model and Prosodic Features. | James Ferguson, Greg Durrett, Dan Klein |
| 2014 | ACL | Less Grammar, More Features. | David Hall, Greg Durrett, Dan Klein |
| 2013 | ACL | Unsupervised Transcription of Historical Documents. | Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein |
| 2013 | ACL | Decentralized Entity-Level Modeling for Coreference Resolution. | Greg Durrett, David Hall, Dan Klein |
| 2013 | EMNLP | Easy Victories and Uphill Battles in Coreference Resolution. | Greg Durrett, Dan Klein |
| 2013 | NAACL | Supervised Learning of Complete Morphological Paradigms. | Greg Durrett, John DeNero |
| 2012 | EMNLP | Syntactic Transfer Using a Bilingual Lexicon. | Greg Durrett, Adam Pauls, Dan Klein |
| 2011 | ACL | An Empirical Investigation of Discounting in Cross-Domain Language Models. | Greg Durrett, Dan Klein |
| 2011 | FOGA | Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics. | Greg Durrett, Frank Neumann, Una-May O'Reilly |