Greg Durrett

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 180

Top Venues

Publications

Anisha Gunjal, Greg Durrett
Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification. CoRR (2024)
Fangcong Yin, Xi Ye, Greg Durrett
LoFiT: Localized Fine-tuning on LLM Representations. CoRR (2024)
Thom Lake, Eunsol Choi, Greg Durrett
From Distributional to Overton Pluralism: Investigating Large Language Model Alignment. CoRR (2024)
Prasann Singhal, Nathan Lambert, Scott Niekum, Tanya Goyal, Greg Durrett
D2PO: Discriminator-Guided DPO with Response Evaluation Models. CoRR (2024)
Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi
Complex Claim Verification with Evidence Retrieved in the Wild. NAACL-HLT (2024)
Abhishek Divekar, Greg Durrett
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation. CoRR (2024)
Liyan Tang, Philippe Laban, Greg Durrett
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. CoRR (2024)
Manya Wadhwa, Xinyu Zhao, Junyi Jessy Li, Greg Durrett
Learning to Refine with Fine-Grained Natural Language Feedback. CoRR (2024)
Zeyu Leo Liu, Shrey Pandit, Xi Ye, Eunsol Choi, Greg Durrett
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates. CoRR (2024)
Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. ICLR (2024)
Yating Wu, Ritika Mangla, Alexandros G. Dimakis, Greg Durrett, Junyi Jessy Li
Which questions should I answer? Salience Prediction of Inquisitive Questions. CoRR (2024)
Juan Diego Rodriguez, Katrin Erk, Greg Durrett
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs. NAACL-HLT (2024)
Jiayi Wei, Greg Durrett, Isil Dillig
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing. ICLR (2024)
Xi Ye, Greg Durrett
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting. EMNLP (2023)
Liyan Tang, Zhaoyi Sun, Betina Ross S. Idnay, Jordan G. Nestor, Ali Soroush, Pierre A. Elias, Ziyang Xu, Ying Ding, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng
Evaluating large language models on medical evidence summarization. npj Digit. Medicine 6 (2023)
Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li
QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing. EMNLP (2023)
Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett
WiCE: Real-World Entailment for Claims in Wikipedia. CoRR (2023)
Jiayi Wei, Greg Durrett, Isil Dillig
TypeT5: Seq2seq Type Inference using Static Analysis. ICLR (2023)
Ryo Kamoi, Tanya Goyal, Greg Durrett
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. EACL (2023)
Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett
Assessing Out-of-Domain Language Model Performance from Few Examples. EACL (2023)
Anisha Gunjal, Greg Durrett
Drafting Event Schemas using Language Models. CoRR (2023)
Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett
Prompted Opinion Summarization with GPT-3.5. ACL (Findings) (2023)
Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett
WiCE: Real-World Entailment for Claims in Wikipedia. EMNLP (2023)
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) (2023)
Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett
EEL: Efficiently Encoding Lattices for Reranking. CoRR (2023)
Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi
Complex Claim Verification with Evidence Retrieved in the Wild. CoRR (2023)
Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett
EEL: Efficiently Encoding Lattices for Reranking. ACL (1) (2023)
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
SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) (2023)
Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
Satisfiability-Aided Language Models Using Declarative Prompting. CoRR (2023)
Wei-Jen Ko, Yating Wu, Cutter Dalton, Dananjay Srinivas, Greg Durrett, Junyi Jessy Li
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion. ACL (Findings) (2023)
Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. ACL (1) (2023)
Xi Ye, Greg Durrett
Explanation Selection Using Unlabeled Data for In-Context Learning. CoRR (2023)
Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoNLL (2023)
Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig
Data Extraction via Semantic Regular Expression Synthesis. CoRR (2023)
Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li
QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing. CoRR (2023)
Jiayi Wei, Greg Durrett, Isil Dillig
Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing. CoRR (2023)
Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting. NeurIPS (2023)
Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. CoRR (2023)
Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
Deductive Additivity for Planning of Natural Language Proofs. CoRR (2023)
Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi
Propagating Knowledge Updates to LMs Through Distillation. NeurIPS (2023)
Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) (2023)
Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru
Complementary Explanations for Effective In-Context Learning. ACL (Findings) (2023)
Juan Diego Rodriguez, Katrin Erk, Greg Durrett
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs. CoRR (2023)
Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. CoRR (2023)
Manya Wadhwa, Jifan Chen, Junyi Jessy Li, Greg Durrett
Using Natural Language Explanations to Rescale Human Judgments. CoRR (2023)
Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR (2023)
Jarad Forristal, Niloofar Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoRR (2023)
Jiayi Wei, Greg Durrett, Isil Dillig
TypeT5: Seq2seq Type Inference using Static Analysis. CoRR (2023)
Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
Modeling Complex Event Scenarios via Simple Entity-focused Questions. EACL (2023)
Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
Modeling Complex Event Scenarios via Simple Entity-focused Questions. CoRR (2023)
Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig
Data Extraction via Semantic Regular Expression Synthesis. Proc. ACM Program. Lang. 7 (OOPSLA2) (2023)
Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi
Propagating Knowledge Updates to LMs Through Distillation. CoRR (2023)
Prasann Singhal, Tanya Goyal, Jiacheng Xu, Greg Durrett
A Long Way to Go: Investigating Length Correlations in RLHF. CoRR (2023)
Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett
Assessing Out-of-Domain Language Model Performance from Few Examples. CoRR (2022)
Tanya Goyal, Junyi Jessy Li, Greg Durrett
SNaC: Coherence Error Detection for Narrative Summarization. EMNLP (2022)
Wei-Jen Ko, Yating Wu, Cutter Dalton, Dananjay Srinivas, Greg Durrett, Junyi Jessy Li
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion. CoRR (2022)
Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
Natural Language Deduction with Incomplete Information. EMNLP (2022)
Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett
Training Dynamics for Text Summarization Models. ACL (Findings) (2022)
Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett
Natural Language Deduction through Search over Statement Compositions. CoRR (2022)
Xi Ye, Greg Durrett
The Unreliability of Explanations in Few-Shot In-Context Learning. CoRR (2022)
Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
Natural Language Deduction with Incomplete Information. CoRR (2022)
Tanya Goyal, Junyi Jessy Li, Greg Durrett
SNaC: Coherence Error Detection for Narrative Summarization. CoRR (2022)
Benjamin Mariano, Yanju Chen, Yu Feng, Greg Durrett, Isil Dillig
Automated Transpilation of Imperative to Functional Code using Neural-Guided Program Synthesis (Extended Version). CoRR (2022)
Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
Entity Cloze By Date: What LMs Know About Unseen Entities. CoRR (2022)
Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
Entity Cloze By Date: What LMs Know About Unseen Entities. NAACL-HLT (Findings) (2022)
Xi Ye, Greg Durrett
Can Explanations Be Useful for Calibrating Black Box Models? ACL (1) (2022)
Tanya Goyal, Junyi Jessy Li, Greg Durrett
FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation. EMNLP (Demos) (2022)
Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett
Generating Literal and Implied Subquestions to Fact-check Complex Claims. CoRR (2022)
Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett
Generating Literal and Implied Subquestions to Fact-check Complex Claims. EMNLP (2022)
Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig
Type-directed synthesis of visualizations from natural language queries. Proc. ACM Program. Lang. 6 (OOPSLA2) (2022)
Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett
Zero-Shot Opinion Summarization with GPT-3. CoRR (2022)
Xi Ye, Greg Durrett
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning. NeurIPS (2022)
Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett
ASPECTNEWS: Aspect-Oriented Summarization of News Documents. ACL (1) (2022)
Ryo Kamoi, Tanya Goyal, Greg Durrett
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. CoRR (2022)
Jiacheng Xu, Siddhartha Jonnalagadda, Greg Durrett
Massive-scale Decoding for Text Generation using Lattices. NAACL-HLT (2022)
Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett
Natural Language Deduction through Search over Statement Compositions. EMNLP (Findings) (2022)
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yahvuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR (2022)
Wei-Jen Ko, Cutter Dalton, Mark Simmons, Eliza Fisher, Greg Durrett, Junyi Jessy Li
Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections. EMNLP (2022)
Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL (2022)
Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig
Type-Directed Synthesis of Visualizations from Natural Language Queries. CoRR (2022)
Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru
Complementary Explanations for Effective In-Context Learning. CoRR (2022)
Tanya Goyal, Junyi Jessy Li, Greg Durrett
News Summarization and Evaluation in the Era of GPT-3. CoRR (2022)
Benjamin Mariano, Yanju Chen, Yu Feng, Greg Durrett, Isil Dillig
Automated transpilation of imperative to functional code using neural-guided program synthesis. Proc. ACM Program. Lang. 6 (OOPSLA) (2022)
Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett
Flexible Generation of Natural Language Deductions. EMNLP (1) (2021)
Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk
Did they answer? Subjective acts and intents in conversational discourse. CoRR (2021)
Jiacheng Xu, Greg Durrett
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. CoRR (2021)
Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett
Aspect-Oriented Summarization through Query-Focused Extraction. CoRR (2021)
Xi Ye, Rohan Nair, Greg Durrett
Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals. CoRR (2021)
Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang, Greg Durrett, Osbert Bastani, Isil Dillig
Web question answering with neurosymbolic program synthesis. PLDI (2021)
Jifan Chen, Eunsol Choi, Greg Durrett
Can NLI Models Verify QA Systems' Predictions? CoRR (2021)
Jiacheng Xu, Greg Durrett
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. ACL/IJCNLP (1) (2021)
Tanya Goyal, Greg Durrett
Annotating and Modeling Fine-grained Factuality in Summarization. NAACL-HLT (2021)
Xi Ye, Rohan Nair, Greg Durrett
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals. EMNLP (1) (2021)
Sagnik Majumder, Chinmoy Samant, Greg Durrett
Model Agnostic Answer Reranking System for Adversarial Question Answering. EACL (Student Research Workshop) (2021)
Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk
Did they answer? Subjective acts and intents in conversational discourse. NAACL-HLT (2021)
Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett
Training Dynamics for Text Summarization Models. CoRR (2021)
Sagnik Majumder, Chinmoy Samant, Greg Durrett
Model Agnostic Answer Reranking System for Adversarial Question Answering. CoRR (2021)
Jifan Chen, Eunsol Choi, Greg Durrett
Can NLI Models Verify QA Systems' Predictions? EMNLP (Findings) (2021)
Shih-Ting Lin, Nathanael Chambers, Greg Durrett
Conditional Generation of Temporally-ordered Event Sequences. ACL/IJCNLP (1) (2021)
Wei-Jen Ko, Cutter Dalton, Mark Simmons, Eliza Fisher, Greg Durrett, Junyi Jessy Li
Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Greg Durrett