Greg Durrett - RankMe

233 papers A* 33A 4B 2Journal 129Unranked 62

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CREATE: Testing LLMs for Associative Creativity. CoRR Manya Wadhwa, Tiasa Singha Roy, Harvey Lederman, Junyi Jessy Li, Greg Durrett
2026	J	`jnl`	Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents. CoRR Wenxuan Ding, Nicholas Tomlin, Greg Durrett
2026	J	`jnl`	VeriSoftBench: Repository-Scale Formal Verification Benchmarks for Lean. CoRR Yutong Xin, Qiaochu Chen, Greg Durrett, Isil Dillig
2025	J	`jnl`	Adaptive Margin RLHF via Preference over Preferences. CoRR Yaswanth Chittepu, Prasann Singhal, Greg Durrett, Scott Niekum
2025	J	`jnl`	AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy. CoRR Sebastian Antony Joseph, Syed Murtaza Husain, Stella S. R. Offner, Stéphanie Juneau, Paul Torrey, Adam S. Bolton, Juan P. Farias, Niall Gaffney, Greg Durrett, Junyi Jessy Li
2025	J	`jnl`	CLEVER: A Curated Benchmark for Formally Verified Code Generation. CoRR Amitayush Thakur, Jasper Lee, George Tsoukalas, Meghana Sistla, Matthew Zhao, Stefan Zetzsche, Greg Durrett, Yisong Yue, Swarat Chaudhuri
2025	J	`jnl`	CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation. CoRR Anirudh Khatry, Robert Zhang, Jia Pan, Ziteng Wang, Qiaochu Chen, Greg Durrett, Isil Dillig
2025	—	`conf`	Causal Graph based Event Reasoning using Semantic Relation Experts. ACL (1) Mahnaz Koupaee, Xueying Bai, Mudan Chen, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
2025	J	`jnl`	Causal Graph based Event Reasoning using Semantic Relation Experts. CoRR Mahnaz Koupaee, Xueying Bai, Mudan Chen, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
2025	J	`jnl`	ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models. CoRR Liyan Tang, Grace Kim, Xinyu Zhao, Thom Lake, Wenxuan Ding, Fangcong Yin, Prasann Singhal, Manya Wadhwa, Zeyu Leo Liu, Zayne Sprague, Ramya Namuduri, Bodun Hu, Juan Diego Rodriguez, Puyuan Peng, Greg Durrett
2025	J	`jnl`	EvalAgent: Discovering Implicit Evaluation Criteria from the Web. CoRR Manya Wadhwa, Zayne Sprague, Chaitanya Malaviya, Philippe Laban, Junyi Jessy Li, Greg Durrett
2025	—	`conf`	From Distributional to Overton Pluralism: Investigating Large Language Model Alignment. NAACL (Long Papers) Thom Lake, Eunsol Choi, Greg Durrett
2025	A*	`conf`	Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding. EMNLP Melanie Subbiah, Akankshya Mishra, Grace Kim, Liyan Tang, Greg Durrett, Kathleen McKeown
2025	J	`jnl`	Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding. CoRR Melanie Subbiah, Akankshya Mishra, Grace Kim, Liyan Tang, Greg Durrett, Kathleen McKeown
2025	J	`jnl`	Learning Composable Chains-of-Thought. CoRR Fangcong Yin, Zeyu Leo Liu, Liu Leqi, Xi Ye, Greg Durrett
2025	J	`jnl`	LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation. CoRR Xi Ye, Fangcong Yin, Yinghui He, Joie Zhang, Howard Yen, Tianyu Gao, Greg Durrett, Danqi Chen
2025	J	`jnl`	OpenThoughts: Data Recipes for Reasoning Models. CoRR Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt
2025	J	`jnl`	Pairwise or Pointwise? Evaluating Feedback Protocols for Bias in LLM-Based Evaluation. CoRR Tuhina Tripathi, Manya Wadhwa, Greg Durrett, Scott Niekum
2025	J	`jnl`	ProofWala: Multilingual Proof Data Synthesis and Theorem-Proving. CoRR Amitayush Thakur, George Tsoukalas, Greg Durrett, Swarat Chaudhuri
2025	J	`jnl`	PropMEND: Hypernetworks for Knowledge Propagation in LLMs. CoRR Zeyu Leo Liu, Greg Durrett, Eunsol Choi
2025	J	`jnl`	QUDsim: Quantifying Discourse Similarities in LLM-Generated Text. CoRR Ramya Namuduri, Yating Wu, Anshun Asher Zheng, Manya Wadhwa, Greg Durrett, Junyi Jessy Li
2025	J	`jnl`	RankAlign: A Ranking View of the Generator-Validator Gap in Large Language Models. CoRR Juan Diego Rodriguez, Wenxuan Ding, Katrin Erk, Greg Durrett
2025	J	`jnl`	Report on NSF Workshop on Science of Safe AI. CoRR Rajeev Alur, Greg Durrett, Hadas Kress-Gazit, Corina S. Pasareanu, René Vidal
2025	J	`jnl`	SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through Combat. CoRR Yuru Jiang, Wenxuan Ding, Shangbin Feng, Greg Durrett, Yulia Tsvetkov
2025	J	`jnl`	SkillFactory: Self-Distillation For Learning Cognitive Behaviors. CoRR Zayne Sprague, Jack Lu, Manya Wadhwa, Sedrick Keh, Mengye Ren, Greg Durrett
2025	A*	`conf`	To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. ICLR Zayne Rea Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett
2025	A*	`conf`	Understanding Synthetic Context Extension via Retrieval Heads. ICML Xinyu Zhao, Fangcong Yin, Greg Durrett
2024	J	`jnl`	CodeUpdateArena: Benchmarking Knowledge Editing on API Updates. CoRR Zeyu Leo Liu, Shrey Pandit, Xi Ye, Eunsol Choi, Greg Durrett
2024	A*	`conf`	Coeditor: Leveraging Repo-level Diffs for Code Auto-editing. ICLR Jiayi Wei, Greg Durrett, Isil Dillig
2024	—	`conf`	Complex Claim Verification with Evidence Retrieved in the Wild. NAACL-HLT Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi
2024	J	`jnl`	Contrastive Learning to Improve Retrieval for Real-world Fact Checking. CoRR Aniruddh Sriram, Fangyuan Xu, Eunsol Choi, Greg Durrett
2024	J	`jnl`	D2PO: Discriminator-Guided DPO with Response Evaluation Models. CoRR Prasann Singhal, Nathan Lambert, Scott Niekum, Tanya Goyal, Greg Durrett
2024	J	`jnl`	From Distributional to Overton Pluralism: Investigating Large Language Model Alignment. CoRR Thom Lake, Eunsol Choi, Greg Durrett
2024	—	`conf`	Learning to Refine with Fine-Grained Natural Language Feedback. EMNLP (Findings) Manya Wadhwa, Xinyu Zhao, Junyi Jessy Li, Greg Durrett
2024	J	`jnl`	Learning to Refine with Fine-Grained Natural Language Feedback. CoRR Manya Wadhwa, Xinyu Zhao, Junyi Jessy Li, Greg Durrett
2024	A*	`conf`	LoFiT: Localized Fine-tuning on LLM Representations. NeurIPS Fangcong Yin, Xi Ye, Greg Durrett
2024	J	`jnl`	LoFiT: Localized Fine-tuning on LLM Representations. CoRR Fangcong Yin, Xi Ye, Greg Durrett
2024	A*	`conf`	MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. EMNLP Liyan Tang, Philippe Laban, Greg Durrett
2024	J	`jnl`	MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. CoRR Liyan Tang, Philippe Laban, Greg Durrett
2024	—	`conf`	Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification. EMNLP (Findings) Anisha Gunjal, Greg Durrett
2024	J	`jnl`	Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification. CoRR Anisha Gunjal, Greg Durrett
2024	A*	`conf`	MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. ICLR Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
2024	A*	`conf`	SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation. EMNLP Abhishek Divekar, Greg Durrett
2024	J	`jnl`	SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation. CoRR Abhishek Divekar, Greg Durrett
2024	J	`jnl`	To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. CoRR Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett
2024	J	`jnl`	Understanding Synthetic Context Extension via Retrieval Heads. CoRR Xinyu Zhao, Fangcong Yin, Greg Durrett
2024	A*	`conf`	Which questions should I answer? Salience Prediction of Inquisitive Questions. EMNLP Yating Wu, Ritika Mangla, Alex Dimakis, Greg Durrett, Junyi Jessy Li
2024	J	`jnl`	Which questions should I answer? Salience Prediction of Inquisitive Questions. CoRR Yating Wu, Ritika Mangla, Alexandros G. Dimakis, Greg Durrett, Junyi Jessy Li
2024	—	`conf`	X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs. NAACL-HLT Juan Diego Rodriguez, Katrin Erk, Greg Durrett
2023	B	`conf`	A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoNLL Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick
2023	J	`jnl`	A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoRR Jarad Forristal, Niloofar Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick
2023	J	`jnl`	A Long Way to Go: Investigating Length Correlations in RLHF. CoRR Prasann Singhal, Tanya Goyal, Jiacheng Xu, Greg Durrett
2023	A	`conf`	Assessing Out-of-Domain Language Model Performance from Few Examples. EACL Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett
2023	—	`conf`	Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. ACL (1) Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi
2023	J	`jnl`	Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. CoRR Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi
2023	J	`jnl`	Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing. CoRR Jiayi Wei, Greg Durrett, Isil Dillig
2023	—	`conf`	Complementary Explanations for Effective In-Context Learning. ACL (Findings) Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru
2023	J	`jnl`	Complex Claim Verification with Evidence Retrieved in the Wild. CoRR Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi
2023	J	`jnl`	Data Extraction via Semantic Regular Expression Synthesis. CoRR Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig
2023	J	`jnl`	Data Extraction via Semantic Regular Expression Synthesis. Proc. ACM Program. Lang. Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig
2023	J	`jnl`	Deductive Additivity for Planning of Natural Language Proofs. CoRR Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
2023	—	`conf`	Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion. ACL (Findings) Wei-Jen Ko, Yating Wu, Cutter Dalton, Dananjay Srinivas, Greg Durrett, Junyi Jessy Li
2023	J	`jnl`	Drafting Event Schemas using Language Models. CoRR Anisha Gunjal, Greg Durrett
2023	—	`conf`	EEL: Efficiently Encoding Lattices for Reranking. ACL (1) Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett
2023	J	`jnl`	EEL: Efficiently Encoding Lattices for Reranking. CoRR Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett
2023	J	`jnl`	Evaluating large language models on medical evidence summarization. npj Digit. Medicine 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
2023	A*	`conf`	Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting. EMNLP Xi Ye, Greg Durrett
2023	J	`jnl`	Explanation Selection Using Unlabeled Data for In-Context Learning. CoRR Xi Ye, Greg Durrett
2023	—	`conf`	Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
2023	J	`jnl`	Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
2023	A	`conf`	Modeling Complex Event Scenarios via Simple Entity-focused Questions. EACL Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
2023	J	`jnl`	Modeling Complex Event Scenarios via Simple Entity-focused Questions. CoRR Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
2023	J	`jnl`	MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. CoRR Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
2023	—	`conf`	Prompted Opinion Summarization with GPT-3.5. ACL (Findings) Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett
2023	A*	`conf`	Propagating Knowledge Updates to LMs Through Distillation. NeurIPS Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi
2023	J	`jnl`	Propagating Knowledge Updates to LMs Through Distillation. CoRR Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi
2023	J	`jnl`	QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing. CoRR Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li
2023	A*	`conf`	QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing. EMNLP Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li
2023	—	`conf`	SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) 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	A*	`conf`	SatLM: Satisfiability-Aided Language Models Using Declarative Prompting. NeurIPS Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2023	J	`jnl`	Satisfiability-Aided Language Models Using Declarative Prompting. CoRR Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2023	A	`conf`	Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. EACL Ryo Kamoi, Tanya Goyal, Greg Durrett
2023	A*	`conf`	TypeT5: Seq2seq Type Inference using Static Analysis. ICLR Jiayi Wei, Greg Durrett, Isil Dillig
2023	J	`jnl`	TypeT5: Seq2seq Type Inference using Static Analysis. CoRR Jiayi Wei, Greg Durrett, Isil Dillig
2023	—	`conf`	Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
2023	J	`jnl`	Using Natural Language Explanations to Rescale Human Judgments. CoRR Manya Wadhwa, Jifan Chen, Junyi Jessy Li, Greg Durrett
2023	A*	`conf`	WiCE: Real-World Entailment for Claims in Wikipedia. EMNLP Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett
2023	J	`jnl`	WiCE: Real-World Entailment for Claims in Wikipedia. CoRR Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett
2023	J	`jnl`	X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs. CoRR Juan Diego Rodriguez, Katrin Erk, Greg Durrett
2022	—	`conf`	ASPECTNEWS: Aspect-Oriented Summarization of News Documents. ACL (1) Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett
2022	J	`jnl`	Assessing Out-of-Domain Language Model Performance from Few Examples. CoRR Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett
2022	J	`jnl`	Automated Transpilation of Imperative to Functional Code using Neural-Guided Program Synthesis (Extended Version). CoRR Benjamin Mariano, Yanju Chen, Yu Feng, Greg Durrett, Isil Dillig
2022	J	`jnl`	Automated transpilation of imperative to functional code using neural-guided program synthesis. Proc. ACM Program. Lang. Benjamin Mariano, Yanju Chen, Yu Feng, Greg Durrett, Isil Dillig
2022	—	`conf`	Can Explanations Be Useful for Calibrating Black Box Models? ACL (1) Xi Ye, Greg Durrett
2022	J	`jnl`	Complementary Explanations for Effective In-Context Learning. CoRR Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru
2022	J	`jnl`	Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion. CoRR Wei-Jen Ko, Yating Wu, Cutter Dalton, Dananjay Srinivas, Greg Durrett, Junyi Jessy Li
2022	A*	`conf`	Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections. EMNLP Wei-Jen Ko, Cutter Dalton, Mark Simmons, Eliza Fisher, Greg Durrett, Junyi Jessy Li
2022	—	`conf`	EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng
2022	—	`conf`	Entity Cloze By Date: What LMs Know About Unseen Entities. NAACL-HLT (Findings) Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
2022	J	`jnl`	Entity Cloze By Date: What LMs Know About Unseen Entities. CoRR Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
2022	—	`conf`	FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation. EMNLP (Demos) Tanya Goyal, Junyi Jessy Li, Greg Durrett
2022	A*	`conf`	Generating Literal and Implied Subquestions to Fact-check Complex Claims. EMNLP Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett
2022	J	`jnl`	Generating Literal and Implied Subquestions to Fact-check Complex Claims. CoRR Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett
2022	—	`conf`	Massive-scale Decoding for Text Generation using Lattices. NAACL-HLT Jiacheng Xu, Siddhartha Jonnalagadda, Greg Durrett
2022	—	`conf`	Natural Language Deduction through Search over Statement Compositions. EMNLP (Findings) Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett
2022	J	`jnl`	Natural Language Deduction through Search over Statement Compositions. CoRR Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett
2022	A*	`conf`	Natural Language Deduction with Incomplete Information. EMNLP Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
2022	J	`jnl`	Natural Language Deduction with Incomplete Information. CoRR Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
2022	J	`jnl`	News Summarization and Evaluation in the Era of GPT-3. CoRR Tanya Goyal, Junyi Jessy Li, Greg Durrett
2022	A*	`conf`	SNaC: Coherence Error Detection for Narrative Summarization. EMNLP Tanya Goyal, Junyi Jessy Li, Greg Durrett
2022	J	`jnl`	SNaC: Coherence Error Detection for Narrative Summarization. CoRR Tanya Goyal, Junyi Jessy Li, Greg Durrett
2022	J	`jnl`	Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. CoRR Ryo Kamoi, Tanya Goyal, Greg Durrett
2022	J	`jnl`	The Unreliability of Explanations in Few-Shot In-Context Learning. CoRR Xi Ye, Greg Durrett
2022	A*	`conf`	The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning. NeurIPS Xi Ye, Greg Durrett
2022	—	`conf`	Training Dynamics for Text Summarization Models. ACL (Findings) Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett
2022	J	`jnl`	Type-Directed Synthesis of Visualizations from Natural Language Queries. CoRR Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig
2022	J	`jnl`	Type-directed synthesis of visualizations from natural language queries. Proc. ACM Program. Lang. Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig
2022	J	`jnl`	Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
2022	J	`jnl`	Zero-Shot Opinion Summarization with GPT-3. CoRR Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett
2021	—	`conf`	Annotating and Modeling Fine-grained Factuality in Summarization. NAACL-HLT Tanya Goyal, Greg Durrett
2021	J	`jnl`	Annotating and Modeling Fine-grained Factuality in Summarization. CoRR Tanya Goyal, Greg Durrett
2021	J	`jnl`	Aspect-Oriented Summarization through Query-Focused Extraction. CoRR Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett
2021	—	`conf`	CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. NeurIPS Datasets and Benchmarks Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
2021	J	`jnl`	CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. CoRR Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
2021	J	`jnl`	Can Explanations Be Useful for Calibrating Black Box Models? CoRR Xi Ye, Greg Durrett
2021	—	`conf`	Can NLI Models Verify QA Systems' Predictions? EMNLP (Findings) Jifan Chen, Eunsol Choi, Greg Durrett
2021	J	`jnl`	Can NLI Models Verify QA Systems' Predictions? CoRR Jifan Chen, Eunsol Choi, Greg Durrett
2021	—	`conf`	Conditional Generation of Temporally-ordered Event Sequences. ACL/IJCNLP (1) Shih-Ting Lin, Nathanael Chambers, Greg Durrett
2021	—	`conf`	Connecting Attributions and QA Model Behavior on Realistic Counterfactuals. EMNLP (1) Xi Ye, Rohan Nair, Greg Durrett
2021	J	`jnl`	Cross-Lingual Fine-Grained Entity Typing. CoRR Nila Selvaraj, Yasumasa Onoe, Greg Durrett
2021	—	`conf`	Did they answer? Subjective acts and intents in conversational discourse. NAACL-HLT Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk
2021	J	`jnl`	Did they answer? Subjective acts and intents in conversational discourse. CoRR Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk
2021	J	`jnl`	Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections. CoRR Wei-Jen Ko, Cutter Dalton, Mark Simmons, Eliza Fisher, Greg Durrett, Junyi Jessy Li
2021	—	`conf`	Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. ACL/IJCNLP (1) Jiacheng Xu, Greg Durrett
2021	J	`jnl`	Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. CoRR Jiacheng Xu, Greg Durrett
2021	—	`conf`	Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. ACL/IJCNLP (2) Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
2021	J	`jnl`	Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals. CoRR Xi Ye, Rohan Nair, Greg Durrett
2021	—	`conf`	Flexible Generation of Natural Language Deductions. EMNLP (1) Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett
2021	J	`jnl`	Flexible Operations for Natural Language Deduction. CoRR Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett
2021	J	`jnl`	Making Document-Level Information Extraction Right for the Right Reasons. CoRR Liyan Tang, Dhruv Rajan, Suyash Mohan, Abhijeet Pradhan, R. Nick Bryan, Greg Durrett
2021	J	`jnl`	Massive-scale Decoding for Text Generation using Lattices. CoRR Jiacheng Xu, Greg Durrett
2021	—	`conf`	Model Agnostic Answer Reranking System for Adversarial Question Answering. EACL (Student Research Workshop) Sagnik Majumder, Chinmoy Samant, Greg Durrett
2021	J	`jnl`	Model Agnostic Answer Reranking System for Adversarial Question Answering. CoRR Sagnik Majumder, Chinmoy Samant, Greg Durrett
2021	—	`conf`	Modeling Fine-Grained Entity Types with Box Embeddings. ACL/IJCNLP (1) Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett
2021	J	`jnl`	Modeling Fine-Grained Entity Types with Box Embeddings. CoRR Yasumasa Onoe, Michael Boratko, Greg Durrett
2021	—	`conf`	Optimal Neural Program Synthesis from Multimodal Specifications. EMNLP (Findings) Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2021	—	`conf`	Robust Question Answering Through Sub-part Alignment. NAACL-HLT Jifan Chen, Greg Durrett
2021	J	`jnl`	Training Dynamics for Text Summarization Models. CoRR Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett
2021	J	`jnl`	Web Question Answering with Neurosymbolic Program Synthesis. CoRR Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang, Greg Durrett, Osbert Bastani, Isil Dillig
2021	A*	`conf`	Web question answering with neurosymbolic program synthesis. PLDI Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang, Greg Durrett, Osbert Bastani, Isil Dillig
2020	A*	`conf`	Benchmarking Multimodal Regex Synthesis with Complex Structures. ACL Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2020	J	`jnl`	Benchmarking Multimodal Regex Synthesis with Complex Structures. CoRR Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2020	—	`conf`	Byte Pair Encoding is Suboptimal for Language Model Pretraining. EMNLP (Findings) Kaj Bostrom, Greg Durrett
2020	J	`jnl`	Byte Pair Encoding is Suboptimal for Language Model Pretraining. CoRR Kaj Bostrom, Greg Durrett
2020	—	`conf`	Calibration of Pre-trained Transformers. EMNLP (1) Shrey Desai, Greg Durrett
2020	J	`jnl`	Calibration of Pre-trained Transformers. CoRR Shrey Desai, Greg Durrett
2020	—	`conf`	Compressive Summarization with Plausibility and Salience Modeling. EMNLP (1) Shrey Desai, Jiacheng Xu, Greg Durrett
2020	J	`jnl`	Compressive Summarization with Plausibility and Salience Modeling. CoRR Shrey Desai, Jiacheng Xu, Greg Durrett
2020	J	`jnl`	Conditional Generation of Temporally-ordered Event Sequences. CoRR Shih-Ting Lin, Nathanael Chambers, Greg Durrett
2020	J	`jnl`	Effective Distant Supervision for Temporal Relation Extraction. CoRR Xinyu Zhao, Shih-Ting Lin, Greg Durrett
2020	—	`conf`	Evaluating Factuality in Generation with Dependency-level Entailment. EMNLP (Findings) Tanya Goyal, Greg Durrett
2020	J	`jnl`	Evaluating Factuality in Generation with Dependency-level Entailment. CoRR Tanya Goyal, Greg Durrett
2020	A*	`conf`	Fine-Grained Entity Typing for Domain Independent Entity Linking. AAAI Yasumasa Onoe, Greg Durrett
2020	—	`conf`	Inquisitive Question Generation for High Level Text Comprehension. EMNLP (1) Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett, Junyi Jessy Li
2020	J	`jnl`	Inquisitive Question Generation for High Level Text Comprehension. CoRR Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett, Junyi Jessy Li
2020	—	`conf`	Interpretable Entity Representations through Large-Scale Typing. EMNLP (Findings) Yasumasa Onoe, Greg Durrett
2020	J	`jnl`	Interpretable Entity Representations through Large-Scale Typing. CoRR Yasumasa Onoe, Greg Durrett
2020	A*	`conf`	LambdaNet: Probabilistic Type Inference using Graph Neural Networks. ICLR Jiayi Wei, Maruth Goyal, Greg Durrett, Isil Dillig
2020	J	`jnl`	LambdaNet: Probabilistic Type Inference using Graph Neural Networks. CoRR Jiayi Wei, Maruth Goyal, Greg Durrett, Isil Dillig
2020	A*	`conf`	Multi-modal synthesis of regular expressions. PLDI Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, Isil Dillig
2020	J	`jnl`	Narrative Interpolation for Generating and Understanding Stories. CoRR Su Wang, Greg Durrett, Katrin Erk
2020	A*	`conf`	Neural Syntactic Preordering for Controlled Paraphrase Generation. ACL Tanya Goyal, Greg Durrett
2020	J	`jnl`	Neural Syntactic Preordering for Controlled Paraphrase Generation. CoRR Tanya Goyal, Greg Durrett
2020	J	`jnl`	Optimal Neural Program Synthesis from Multimodal Specifications. CoRR Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2020	J	`jnl`	Robust Question Answering Through Sub-part Alignment. CoRR Jifan Chen, Greg Durrett
2020	J	`jnl`	Sketch-Driven Regular Expression Generation from Natural Language and Examples. Trans. Assoc. Comput. Linguistics Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett
2020	J	`jnl`	Tradeoffs in Sentence Selection Techniques for Open-Domain Question Answering. CoRR Shih-Ting Lin, Greg Durrett
2020	—	`conf`	Understanding Neural Abstractive Summarization Models via Uncertainty. EMNLP (1) Jiacheng Xu, Shrey Desai, Greg Durrett
2020	J	`jnl`	Understanding Neural Abstractive Summarization Models via Uncertainty. CoRR Jiacheng Xu, Shrey Desai, Greg Durrett
2019	A*	`conf`	Domain Agnostic Real-Valued Specificity Prediction. AAAI Wei-Jen Ko, Greg Durrett, Junyi Jessy Li
2019	—	`conf`	Effective Use of Transformer Networks for Entity Tracking. EMNLP/IJCNLP (1) Aditya Gupta, Greg Durrett
2019	J	`jnl`	Effective Use of Transformer Networks for Entity Tracking. CoRR Aditya Gupta, Greg Durrett
2019	—	`conf`	Embedding Time Expressions for Deep Temporal Ordering Models. ACL (1) Tanya Goyal, Greg Durrett
2019	J	`jnl`	Embedding time expressions for deep temporal ordering models. CoRR Tanya Goyal, Greg Durrett
2019	—	`conf`	Evaluating Discourse in Structured Text Representations. ACL (1) Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk
2019	J	`jnl`	Evaluating Discourse in Structured Text Representations. CoRR Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk
2019	J	`jnl`	Fine-Grained Entity Typing for Domain Independent Entity Linking. CoRR Yasumasa Onoe, Greg Durrett
2019	—	`conf`	Learning to Denoise Distantly-Labeled Data for Entity Typing. NAACL-HLT (1) Yasumasa Onoe, Greg Durrett
2019	J	`jnl`	Learning to Denoise Distantly-Labeled Data for Entity Typing. CoRR Yasumasa Onoe, Greg Durrett
2019	—	`conf`	Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation. NAACL-HLT (1) Wei-Jen Ko, Greg Durrett, Junyi Jessy Li
2019	J	`jnl`	Multi-Modal Synthesis of Regular Expressions. CoRR Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, Isil Dillig
2019	J	`jnl`	Multi-hop Question Answering via Reasoning Chains. CoRR Jifan Chen, Shih-Ting Lin, Greg Durrett
2019	—	`conf`	Neural Extractive Text Summarization with Syntactic Compression. EMNLP/IJCNLP (1) Jiacheng Xu, Greg Durrett
2019	J	`jnl`	Neural Extractive Text Summarization with Syntactic Compression. CoRR Jiacheng Xu, Greg Durrett
2019	—	`ed.`	Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 3-5, 2019, Student Research Workshop NAACL-HLT (Student Research Workshop) Sudipta Kar, Farah Nadeem, Laura Burdick, Greg Durrett, Na-Rae Han
2019	—	`ed.`	Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, DeepLo@EMNLP-IJCNLP 2019, Hong Kong, China, November 3, 2019 DeepLo@EMNLP-IJCNLP Colin Cherry, Greg Durrett, George F. Foster, Reza Haffari, Shahram Khadivi, Nanyun Peng, Xiang Ren, Swabha Swayamdipta
2019	J	`jnl`	Query-Focused Scenario Construction. CoRR Su Wang, Greg Durrett, Katrin Erk
2019	—	`conf`	Query-focused Scenario Construction. EMNLP/IJCNLP (1) Su Wang, Greg Durrett, Katrin Erk
2019	J	`jnl`	Sketch-Driven Regular Expression Generation from Natural Language and Examples. CoRR Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett
2019	—	`conf`	Tracking Discrete and Continuous Entity State for Process Understanding. SPNLP@NAACL-HLT Aditya Gupta, Greg Durrett
2019	J	`jnl`	Tracking Discrete and Continuous Entity State for Process Understanding. CoRR Aditya Gupta, Greg Durrett
2019	—	`conf`	Understanding Dataset Design Choices for Multi-hop Reasoning. NAACL-HLT (1) Jifan Chen, Greg Durrett
2019	J	`jnl`	Understanding Dataset Design Choices for Multi-hop Reasoning. CoRR Jifan Chen, Greg Durrett
2018	J	`jnl`	Domain Agnostic Real-Valued Specificity Prediction. CoRR Wei-Jen Ko, Greg Durrett, Junyi Jessy Li
2018	A*	`conf`	Effective Use of Context in Noisy Entity Linking. EMNLP David Mueller, Greg Durrett
2018	—	`conf`	Modeling Semantic Plausibility by Injecting World Knowledge. NAACL-HLT (2) Su Wang, Greg Durrett, Katrin Erk
2018	J	`jnl`	Modeling Semantic Plausibility by Injecting World Knowledge. CoRR Su Wang, Greg Durrett, Katrin Erk
2018	A*	`conf`	Picking Apart Story Salads. EMNLP Su Wang, Eric Holgate, Greg Durrett, Katrin Erk
2018	J	`jnl`	Picking Apart Story Salads. CoRR Su Wang, Eric Holgate, Greg Durrett, Katrin Erk
2018	A*	`conf`	Spherical Latent Spaces for Stable Variational Autoencoders. EMNLP Jiacheng Xu, Greg Durrett
2018	J	`jnl`	Spherical Latent Spaces for Stable Variational Autoencoders. CoRR Jiacheng Xu, Greg Durrett
2017	A*	`conf`	Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. EMNLP Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson
2017	J	`jnl`	Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. CoRR Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson
2017	A*	`conf`	Tools for Automated Analysis of Cybercriminal Markets. WWW Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson
2016	—	`conf`	Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. HLT-NAACL Matthew Francis-Landau, Greg Durrett, Dan Klein
2016	J	`jnl`	Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. CoRR Matthew Francis-Landau, Greg Durrett, Dan Klein
2016	—	`—`	Identifying and Resolving Entities in Text. Greg Durrett
2016	—	`conf`	Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. ACL (1) Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein
2016	J	`jnl`	Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. CoRR Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein
2015	—	`conf`	Disfluency Detection with a Semi-Markov Model and Prosodic Features. HLT-NAACL James Ferguson, Greg Durrett, Dan Klein
2015	—	`conf`	Neural CRF Parsing. ACL (1) Greg Durrett, Dan Klein
2015	J	`jnl`	Neural CRF Parsing. CoRR Greg Durrett, Dan Klein
2014	J	`jnl`	A Joint Model for Entity Analysis: Coreference, Typing, and Linking. Trans. Assoc. Comput. Linguistics Greg Durrett, Dan Klein
2014	—	`conf`	Less Grammar, More Features. ACL (1) David Hall, Greg Durrett, Dan Klein
2013	—	`conf`	Decentralized Entity-Level Modeling for Coreference Resolution. ACL (1) Greg Durrett, David Hall, Dan Klein
2013	A*	`conf`	Easy Victories and Uphill Battles in Coreference Resolution. EMNLP Greg Durrett, Dan Klein
2013	—	`conf`	Supervised Learning of Complete Morphological Paradigms. HLT-NAACL Greg Durrett, John DeNero
2013	—	`conf`	Unsupervised Transcription of Historical Documents. ACL (1) Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein
2012	—	`conf`	Syntactic Transfer Using a Bilingual Lexicon. EMNLP-CoNLL Greg Durrett, Adam Pauls, Dan Klein
2011	—	`conf`	An Empirical Investigation of Discounting in Cross-Domain Language Models. ACL (2) Greg Durrett, Dan Klein
2011	A	`conf`	Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics. FOGA Greg Durrett, Frank Neumann, Una-May O'Reilly
2010	B	`conf`	A Genetic Algorithm to Minimize Chromatic Entropy. EvoCOP Greg Durrett, Muriel Médard, Una-May O'Reilly
2010	J	`jnl`	Computational Complexity Analysis of Simple Genetic Programming On Two Problems Modeling Isolated Program Semantics CoRR Greg Durrett, Frank Neumann, Una-May O'Reilly