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[c95]Anisha Gunjal, Greg Durrett:
Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification. EMNLP (Findings) 2024: 3751-3768- [c94]Liyan Tang, Philippe Laban, Greg Durrett:
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. EMNLP 2024: 8818-8847 - [c93]Manya Wadhwa, Xinyu Zhao, Junyi Jessy Li, Greg Durrett:
Learning to Refine with Fine-Grained Natural Language Feedback. EMNLP (Findings) 2024: 12281-12308 - [c92]Abhishek Divekar, Greg Durrett:
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation. EMNLP 2024: 19200-19227 - [c91]Yating Wu, Ritika Mangla, Alex Dimakis, Greg Durrett, Junyi Jessy Li:
Which questions should I answer? Salience Prediction of Inquisitive Questions. EMNLP 2024: 19969-19987 - [c90]Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. ICLR 2024 - [c89]Jiayi Wei, Greg Durrett, Isil Dillig:
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing. ICLR 2024 - [c88]Juan Diego Rodriguez, Katrin Erk, Greg Durrett:
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs. NAACL-HLT 2024: 1198-1222 - [c87]Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi:
Complex Claim Verification with Evidence Retrieved in the Wild. NAACL-HLT 2024: 3569-3587 - [i101]Liyan Tang, Philippe Laban, Greg Durrett:
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. CoRR abs/2404.10774 (2024) - [i100]Yating Wu, Ritika Mangla, Alexandros G. Dimakis, Greg Durrett, Junyi Jessy Li:
Which questions should I answer? Salience Prediction of Inquisitive Questions. CoRR abs/2404.10917 (2024) - [i99]Prasann Singhal, Nathan Lambert, Scott Niekum, Tanya Goyal, Greg Durrett:
D2PO: Discriminator-Guided DPO with Response Evaluation Models. CoRR abs/2405.01511 (2024) - [i98]Abhishek Divekar, Greg Durrett:
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation. CoRR abs/2405.10040 (2024) - [i97]Fangcong Yin, Xi Ye, Greg Durrett:
LoFiT: Localized Fine-tuning on LLM Representations. CoRR abs/2406.01563 (2024) - [i96]Thom Lake, Eunsol Choi, Greg Durrett:
From Distributional to Overton Pluralism: Investigating Large Language Model Alignment. CoRR abs/2406.17692 (2024) - [i95]Anisha Gunjal, Greg Durrett:
Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification. CoRR abs/2406.20079 (2024) - [i94]Manya Wadhwa, Xinyu Zhao, Junyi Jessy Li, Greg Durrett:
Learning to Refine with Fine-Grained Natural Language Feedback. CoRR abs/2407.02397 (2024) - [i93]Zeyu Leo Liu, Shrey Pandit, Xi Ye, Eunsol Choi, Greg Durrett:
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates. CoRR abs/2407.06249 (2024) - [i92]Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett:
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. CoRR abs/2409.12183 (2024) - [i91]Aniruddh Sriram, Fangyuan Xu, Eunsol Choi, Greg Durrett:
Contrastive Learning to Improve Retrieval for Real-world Fact Checking. CoRR abs/2410.04657 (2024) - [i90]Xinyu Zhao, Fangcong Yin, Greg Durrett:
Understanding Synthetic Context Extension via Retrieval Heads. CoRR abs/2410.22316 (2024) - 2023
- [j6]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) - [j5]Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig:
Data Extraction via Semantic Regular Expression Synthesis. Proc. ACM Program. Lang. 7(OOPSLA2): 1848-1877 (2023) - [c86]Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru:
Complementary Explanations for Effective In-Context Learning. ACL (Findings) 2023: 4469-4484 - [c85]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: 5469-5485 - [c84]Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett:
Prompted Opinion Summarization with GPT-3.5. ACL (Findings) 2023: 9282-9300 - [c83]Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett:
EEL: Efficiently Encoding Lattices for Reranking. ACL (1) 2023: 9299-9316 - [c82]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: 11181-11195 - [c81]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: 11626-11644 - [c80]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: 12532-12555 - [c79]Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick:
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoNLL 2023: 403-413 - [c78]Ryo Kamoi, Tanya Goyal, Greg Durrett:
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. EACL 2023: 132-146 - [c77]Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett:
Assessing Out-of-Domain Language Model Performance from Few Examples. EACL 2023: 2377-2389 - [c76]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Complex Event Scenarios via Simple Entity-focused Questions. EACL 2023: 2460-2475 - [c75]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: 328-335 - [c74]Xi Ye, Greg Durrett:
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting. EMNLP 2023: 619-637 - [c73]Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li:
QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing. EMNLP 2023: 5344-5363 - [c72]Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett:
WiCE: Real-World Entailment for Claims in Wikipedia. EMNLP 2023: 7561-7583 - [c71]Jiayi Wei, Greg Durrett, Isil Dillig:
TypeT5: Seq2seq Type Inference using Static Analysis. ICLR 2023 - [c70]Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi:
Propagating Knowledge Updates to LMs Through Distillation. NeurIPS 2023 - [c69]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting. NeurIPS 2023 - [i89]Xi Ye, Greg Durrett:
Explanation Selection Using Unlabeled Data for In-Context Learning. CoRR abs/2302.04813 (2023) - [i88]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Complex Event Scenarios via Simple Entity-focused Questions. CoRR abs/2302.07139 (2023) - [i87]Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett:
WiCE: Real-World Entailment for Claims in Wikipedia. CoRR abs/2303.01432 (2023) - [i86]Jiayi Wei, Greg Durrett, Isil Dillig:
TypeT5: Seq2seq Type Inference using Static Analysis. CoRR abs/2303.09564 (2023) - [i85]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 abs/2305.01651 (2023) - [i84]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Satisfiability-Aided Language Models Using Declarative Prompting. CoRR abs/2305.09656 (2023) - [i83]Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig:
Data Extraction via Semantic Regular Expression Synthesis. CoRR abs/2305.10401 (2023) - [i82]Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi:
Complex Claim Verification with Evidence Retrieved in the Wild. CoRR abs/2305.11859 (2023) - [i81]Manya Wadhwa, Jifan Chen, Junyi Jessy Li, Greg Durrett:
Using Natural Language Explanations to Rescale Human Judgments. CoRR abs/2305.14770 (2023) - [i80]Anisha Gunjal, Greg Durrett:
Drafting Event Schemas using Language Models. CoRR abs/2305.14847 (2023) - [i79]Jiayi Wei, Greg Durrett, Isil Dillig:
Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing. CoRR abs/2305.18584 (2023) - [i78]Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR abs/2305.19339 (2023) - [i77]Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett:
EEL: Efficiently Encoding Lattices for Reranking. CoRR abs/2306.00947 (2023) - [i76]Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi:
Propagating Knowledge Updates to LMs Through Distillation. CoRR abs/2306.09306 (2023) - [i75]Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
Deductive Additivity for Planning of Natural Language Proofs. CoRR abs/2307.02472 (2023) - [i74]Juan Diego Rodriguez, Katrin Erk, Greg Durrett:
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs. CoRR abs/2309.08873 (2023) - [i73]Prasann Singhal, Tanya Goyal, Jiacheng Xu, Greg Durrett:
A Long Way to Go: Investigating Length Correlations in RLHF. CoRR abs/2310.03716 (2023) - [i72]Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li:
QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing. CoRR abs/2310.14520 (2023) - [i71]Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. CoRR abs/2310.16049 (2023) - [i70]Jarad Forristal, Niloofar Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick:
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoRR abs/2312.04510 (2023) - 2022
- [j4]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(OOPSLA1): 1-27 (2022) - [j3]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): 532-559 (2022) - [c68]Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett:
Training Dynamics for Text Summarization Models. ACL (Findings) 2022: 2061-2073 - [c67]Xi Ye, Greg Durrett:
Can Explanations Be Useful for Calibrating Black Box Models? ACL (1) 2022: 6199-6212 - [c66]Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett:
ASPECTNEWS: Aspect-Oriented Summarization of News Documents. ACL (1) 2022: 6494-6506 - [c65]Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng:
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL 2022: 359-368 - [c64]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation. EMNLP (Demos) 2022: 351-358 - [c63]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
SNaC: Coherence Error Detection for Narrative Summarization. EMNLP 2022: 444-463 - [c62]Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett:
Generating Literal and Implied Subquestions to Fact-check Complex Claims. EMNLP 2022: 3495-3516 - [c61]Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett:
Natural Language Deduction through Search over Statement Compositions. EMNLP (Findings) 2022: 4871-4883 - [c60]Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
Natural Language Deduction with Incomplete Information. EMNLP 2022: 8230-8258 - [c59]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: 11752-11764 - [c58]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
Entity Cloze By Date: What LMs Know About Unseen Entities. NAACL-HLT (Findings) 2022: 693-702 - [c57]Jiacheng Xu, Siddhartha Jonnalagadda, Greg Durrett:
Massive-scale Decoding for Text Generation using Lattices. NAACL-HLT 2022: 4659-4676 - [c56]Xi Ye, Greg Durrett:
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning. NeurIPS 2022 - [i69]Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett:
Natural Language Deduction through Search over Statement Compositions. CoRR abs/2201.06028 (2022) - [i68]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 abs/2203.09452 (2022) - [i67]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
Entity Cloze By Date: What LMs Know About Unseen Entities. CoRR abs/2205.02832 (2022) - [i66]Xi Ye, Greg Durrett:
The Unreliability of Explanations in Few-Shot In-Context Learning. CoRR abs/2205.03401 (2022) - [i65]Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett:
Generating Literal and Implied Subquestions to Fact-check Complex Claims. CoRR abs/2205.06938 (2022) - [i64]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
SNaC: Coherence Error Detection for Narrative Summarization. CoRR abs/2205.09641 (2022) - [i63]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. CoRR abs/2205.12854 (2022) - [i62]Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig:
Type-Directed Synthesis of Visualizations from Natural Language Queries. CoRR abs/2209.01081 (2022) - [i61]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
News Summarization and Evaluation in the Era of GPT-3. CoRR abs/2209.12356 (2022) - [i60]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 abs/2210.05905 (2022) - [i59]Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett:
Assessing Out-of-Domain Language Model Performance from Few Examples. CoRR abs/2210.06725 (2022) - [i58]Ryo Kamoi, Tanya Goyal, Greg Durrett:
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. CoRR abs/2210.06748 (2022) - [i57]Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
Natural Language Deduction with Incomplete Information. CoRR abs/2211.00614 (2022) - [i56]Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru:
Complementary Explanations for Effective In-Context Learning. CoRR abs/2211.13892 (2022) - [i55]Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett:
Zero-Shot Opinion Summarization with GPT-3. CoRR abs/2211.15914 (2022) - 2021
- [c55]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. ACL/IJCNLP (2) 2021: 599-604 - [c54]Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett:
Modeling Fine-Grained Entity Types with Box Embeddings. ACL/IJCNLP (1) 2021: 2051-2064 - [c53]Jiacheng Xu, Greg Durrett:
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. ACL/IJCNLP (1) 2021: 6925-6940 - [c52]Shih-Ting Lin, Nathanael Chambers, Greg Durrett:
Conditional Generation of Temporally-ordered Event Sequences. ACL/IJCNLP (1) 2021: 7142-7157 - [c51]Sagnik Majumder, Chinmoy Samant, Greg Durrett:
Model Agnostic Answer Reranking System for Adversarial Question Answering. EACL (Student Research Workshop) 2021: 50-57 - [c50]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Optimal Neural Program Synthesis from Multimodal Specifications. EMNLP (Findings) 2021: 1691-1704 - [c49]Jifan Chen, Eunsol Choi, Greg Durrett:
Can NLI Models Verify QA Systems' Predictions? EMNLP (Findings) 2021: 3841-3854 - [c48]Xi Ye, Rohan Nair, Greg Durrett:
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals. EMNLP (1) 2021: 5496-5512 - [c47]Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett:
Flexible Generation of Natural Language Deductions. EMNLP (1) 2021: 6266-6278 - [c46]Jifan Chen, Greg Durrett:
Robust Question Answering Through Sub-part Alignment. NAACL-HLT 2021: 1251-1263 - [c45]Tanya Goyal, Greg Durrett:
Annotating and Modeling Fine-grained Factuality in Summarization. NAACL-HLT 2021: 1449-1462 - [c44]Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk:
Did they answer? Subjective acts and intents in conversational discourse. NAACL-HLT 2021: 1626-1644 - [c43]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. NeurIPS Datasets and Benchmarks 2021 - [c42]Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang, Greg Durrett, Osbert Bastani, Isil Dillig:
Web question answering with neurosymbolic program synthesis. PLDI 2021: 328-343 - [i54]Yasumasa Onoe, Michael Boratko, Greg Durrett:
Modeling Fine-Grained Entity Types with Box Embeddings. CoRR abs/2101.00345 (2021) - [i53]Sagnik Majumder, Chinmoy Samant, Greg Durrett:
Model Agnostic Answer Reranking System for Adversarial Question Answering. CoRR abs/2102.03016 (2021) - [i52]Tanya Goyal, Greg Durrett:
Annotating and Modeling Fine-grained Factuality in Summarization. CoRR abs/2104.04302 (2021) - [i51]Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk:
Did they answer? Subjective acts and intents in conversational discourse. CoRR abs/2104.04470 (2021) - [i50]Xi Ye, Rohan Nair, Greg Durrett:
Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals. CoRR abs/2104.04515 (2021) - [i49]Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang, Greg Durrett, Osbert Bastani, Isil Dillig:
Web Question Answering with Neurosymbolic Program Synthesis. CoRR abs/2104.07162 (2021) - [i48]Jifan Chen, Eunsol Choi, Greg Durrett:
Can NLI Models Verify QA Systems' Predictions? CoRR abs/2104.08731 (2021) - [i47]Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett:
Flexible Operations for Natural Language Deduction. CoRR abs/2104.08825 (2021) - [i46]Jiacheng Xu, Greg Durrett:
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. CoRR abs/2106.01518 (2021) - [i45]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. CoRR abs/2109.01653 (2021) - [i44]Xi Ye, Greg Durrett:
Can Explanations Be Useful for Calibrating Black Box Models? CoRR abs/2110.07586 (2021) - [i43]Liyan Tang, Dhruv Rajan, Suyash Mohan, Abhijeet Pradhan, R. Nick Bryan, Greg Durrett:
Making Document-Level Information Extraction Right for the Right Reasons. CoRR abs/2110.07686 (2021) - [i42]Nila Selvaraj, Yasumasa Onoe, Greg Durrett:
Cross-Lingual Fine-Grained Entity Typing. CoRR abs/2110.07837 (2021) - [i41]Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett:
Aspect-Oriented Summarization through Query-Focused Extraction. CoRR abs/2110.08296 (2021) - [i40]Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett:
Training Dynamics for Text Summarization Models. CoRR abs/2110.08370 (2021) - [i39]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 abs/2111.00701 (2021) - [i38]Jiacheng Xu, Greg Durrett:
Massive-scale Decoding for Text Generation using Lattices. CoRR abs/2112.07660 (2021) - 2020
- [j2]Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett:
Sketch-Driven Regular Expression Generation from Natural Language and Examples. Trans. Assoc. Comput. Linguistics 8: 679-694 (2020) - [c41]Yasumasa Onoe, Greg Durrett:
Fine-Grained Entity Typing for Domain Independent Entity Linking. AAAI 2020: 8576-8583 - [c40]Tanya Goyal, Greg Durrett:
Neural Syntactic Preordering for Controlled Paraphrase Generation. ACL 2020: 238-252 - [c39]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Benchmarking Multimodal Regex Synthesis with Complex Structures. ACL 2020: 6081-6094 - [c38]Shrey Desai, Greg Durrett:
Calibration of Pre-trained Transformers. EMNLP (1) 2020: 295-302 - [c37]Yasumasa Onoe, Greg Durrett:
Interpretable Entity Representations through Large-Scale Typing. EMNLP (Findings) 2020: 612-624 - [c36]Tanya Goyal, Greg Durrett:
Evaluating Factuality in Generation with Dependency-level Entailment. EMNLP (Findings) 2020: 3592-3603 - [c35]Kaj Bostrom, Greg Durrett:
Byte Pair Encoding is Suboptimal for Language Model Pretraining. EMNLP (Findings) 2020: 4617-4624 - [c34]Shrey Desai, Jiacheng Xu, Greg Durrett:
Compressive Summarization with Plausibility and Salience Modeling. EMNLP (1) 2020: 6259-6274 - [c33]Jiacheng Xu, Shrey Desai, Greg Durrett:
Understanding Neural Abstractive Summarization Models via Uncertainty. EMNLP (1) 2020: 6275-6281 - [c32]Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett, Junyi Jessy Li:
Inquisitive Question Generation for High Level Text Comprehension. EMNLP (1) 2020: 6544-6555 - [c31]Jiayi Wei, Maruth Goyal, Greg Durrett, Isil Dillig:
LambdaNet: Probabilistic Type Inference using Graph Neural Networks. ICLR 2020 - [c30]Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, Isil Dillig:
Multi-modal synthesis of regular expressions. PLDI 2020: 487-502 - [i37]Shrey Desai, Greg Durrett:
Calibration of Pre-trained Transformers. CoRR abs/2003.07892 (2020) - [i36]Kaj Bostrom, Greg Durrett:
Byte Pair Encoding is Suboptimal for Language Model Pretraining. CoRR abs/2004.03720 (2020) - [i35]Jifan Chen, Greg Durrett:
Robust Question Answering Through Sub-part Alignment. CoRR abs/2004.14648 (2020) - [i34]Yasumasa Onoe, Greg Durrett:
Interpretable Entity Representations through Large-Scale Typing. CoRR abs/2005.00147 (2020) - [i33]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Benchmarking Multimodal Regex Synthesis with Complex Structures. CoRR abs/2005.00663 (2020) - [i32]Tanya Goyal, Greg Durrett:
Neural Syntactic Preordering for Controlled Paraphrase Generation. CoRR abs/2005.02013 (2020) - [i31]Jiayi Wei, Maruth Goyal, Greg Durrett, Isil Dillig:
LambdaNet: Probabilistic Type Inference using Graph Neural Networks. CoRR abs/2005.02161 (2020) - [i30]Su Wang, Greg Durrett, Katrin Erk:
Narrative Interpolation for Generating and Understanding Stories. CoRR abs/2008.07466 (2020) - [i29]Shih-Ting Lin, Greg Durrett:
Tradeoffs in Sentence Selection Techniques for Open-Domain Question Answering. CoRR abs/2009.09120 (2020) - [i28]Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett, Junyi Jessy Li:
Inquisitive Question Generation for High Level Text Comprehension. CoRR abs/2010.01657 (2020) - [i27]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Optimal Neural Program Synthesis from Multimodal Specifications. CoRR abs/2010.01678 (2020) - [i26]Tanya Goyal, Greg Durrett:
Evaluating Factuality in Generation with Dependency-level Entailment. CoRR abs/2010.05478 (2020) - [i25]Jiacheng Xu, Shrey Desai, Greg Durrett:
Understanding Neural Abstractive Summarization Models via Uncertainty. CoRR abs/2010.07882 (2020) - [i24]Shrey Desai, Jiacheng Xu, Greg Durrett:
Compressive Summarization with Plausibility and Salience Modeling. CoRR abs/2010.07886 (2020) - [i23]Xinyu Zhao, Shih-Ting Lin, Greg Durrett:
Effective Distant Supervision for Temporal Relation Extraction. CoRR abs/2010.12755 (2020) - [i22]Shih-Ting Lin, Nathanael Chambers, Greg Durrett:
Conditional Generation of Temporally-ordered Event Sequences. CoRR abs/2012.15786 (2020)
2010 – 2019
- 2019
- [c29]Wei-Jen Ko, Greg Durrett, Junyi Jessy Li:
Domain Agnostic Real-Valued Specificity Prediction. AAAI 2019: 6610-6617 - [c28]Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk:
Evaluating Discourse in Structured Text Representations. ACL (1) 2019: 646-653 - [c27]Tanya Goyal, Greg Durrett:
Embedding Time Expressions for Deep Temporal Ordering Models. ACL (1) 2019: 4400-4406 - [c26]Aditya Gupta, Greg Durrett:
Tracking Discrete and Continuous Entity State for Process Understanding. SPNLP@NAACL-HLT 2019: 7-12 - [c25]Aditya Gupta, Greg Durrett:
Effective Use of Transformer Networks for Entity Tracking. EMNLP/IJCNLP (1) 2019: 759-769 - [c24]Su Wang, Greg Durrett, Katrin Erk:
Query-focused Scenario Construction. EMNLP/IJCNLP (1) 2019: 2712-2722 - [c23]Jiacheng Xu, Greg Durrett:
Neural Extractive Text Summarization with Syntactic Compression. EMNLP/IJCNLP (1) 2019: 3290-3301 - [c22]Yasumasa Onoe, Greg Durrett:
Learning to Denoise Distantly-Labeled Data for Entity Typing. NAACL-HLT (1) 2019: 2407-2417 - [c21]Wei-Jen Ko, Greg Durrett, Junyi Jessy Li:
Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation. NAACL-HLT (1) 2019: 3456-3466 - [c20]Jifan Chen, Greg Durrett:
Understanding Dataset Design Choices for Multi-hop Reasoning. NAACL-HLT (1) 2019: 4026-4032 - [e2]Colin Cherry, Greg Durrett, George F. Foster, Reza Haffari, Shahram Khadivi, Nanyun Peng, Xiang Ren, Swabha Swayamdipta:
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, DeepLo@EMNLP-IJCNLP 2019, Hong Kong, China, November 3, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-78-9 [contents] - [e1]Sudipta Kar, Farah Nadeem, Laura Burdick, Greg Durrett, Na-Rae Han:
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. Association for Computational Linguistics 2019, ISBN 978-1-950737-15-4 [contents] - [i21]Jiacheng Xu, Greg Durrett:
Neural Extractive Text Summarization with Syntactic Compression. CoRR abs/1902.00863 (2019) - [i20]Aditya Gupta, Greg Durrett:
Tracking Discrete and Continuous Entity State for Process Understanding. CoRR abs/1904.03518 (2019) - [i19]Jifan Chen, Greg Durrett:
Understanding Dataset Design Choices for Multi-hop Reasoning. CoRR abs/1904.12106 (2019) - [i18]Yasumasa Onoe, Greg Durrett:
Learning to Denoise Distantly-Labeled Data for Entity Typing. CoRR abs/1905.01566 (2019) - [i17]Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk:
Evaluating Discourse in Structured Text Representations. CoRR abs/1906.01472 (2019) - [i16]Tanya Goyal, Greg Durrett:
Embedding time expressions for deep temporal ordering models. CoRR abs/1906.08287 (2019) - [i15]Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, Isil Dillig:
Multi-Modal Synthesis of Regular Expressions. CoRR abs/1908.03316 (2019) - [i14]Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett:
Sketch-Driven Regular Expression Generation from Natural Language and Examples. CoRR abs/1908.05848 (2019) - [i13]Aditya Gupta, Greg Durrett:
Effective Use of Transformer Networks for Entity Tracking. CoRR abs/1909.02635 (2019) - [i12]Yasumasa Onoe, Greg Durrett:
Fine-Grained Entity Typing for Domain Independent Entity Linking. CoRR abs/1909.05780 (2019) - [i11]Su Wang, Greg Durrett, Katrin Erk:
Query-Focused Scenario Construction. CoRR abs/1909.06877 (2019) - [i10]Jifan Chen, Shih-Ting Lin, Greg Durrett:
Multi-hop Question Answering via Reasoning Chains. CoRR abs/1910.02610 (2019) - 2018
- [c19]David Mueller, Greg Durrett:
Effective Use of Context in Noisy Entity Linking. EMNLP 2018: 1024-1029 - [c18]Su Wang, Eric Holgate, Greg Durrett, Katrin Erk:
Picking Apart Story Salads. EMNLP 2018: 1455-1465 - [c17]Jiacheng Xu, Greg Durrett:
Spherical Latent Spaces for Stable Variational Autoencoders. EMNLP 2018: 4503-4513 - [c16]Su Wang, Greg Durrett, Katrin Erk:
Modeling Semantic Plausibility by Injecting World Knowledge. NAACL-HLT (2) 2018: 303-308 - [i9]Su Wang, Greg Durrett, Katrin Erk:
Modeling Semantic Plausibility by Injecting World Knowledge. CoRR abs/1804.00619 (2018) - [i8]Jiacheng Xu, Greg Durrett:
Spherical Latent Spaces for Stable Variational Autoencoders. CoRR abs/1808.10805 (2018) - [i7]Su Wang, Eric Holgate, Greg Durrett, Katrin Erk:
Picking Apart Story Salads. CoRR abs/1810.13391 (2018) - [i6]Wei-Jen Ko, Greg Durrett, Junyi Jessy Li:
Domain Agnostic Real-Valued Specificity Prediction. CoRR abs/1811.05085 (2018) - 2017
- [c15]Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson:
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. EMNLP 2017: 2598-2607 - [c14]Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson:
Tools for Automated Analysis of Cybercriminal Markets. WWW 2017: 657-666 - [i5]Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson:
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. CoRR abs/1708.09609 (2017) - 2016
- [b1]Greg Durrett:
Identifying and Resolving Entities in Text. University of California, Berkeley, USA, 2016 - [c13]Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein:
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. ACL (1) 2016 - [c12]Matthew Francis-Landau, Greg Durrett, Dan Klein:
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. HLT-NAACL 2016: 1256-1261 - [i4]Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein:
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. CoRR abs/1603.08887 (2016) - [i3]Matthew Francis-Landau, Greg Durrett, Dan Klein:
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. CoRR abs/1604.00734 (2016) - 2015
- [c11]Greg Durrett, Dan Klein:
Neural CRF Parsing. ACL (1) 2015: 302-312 - [c10]James Ferguson, Greg Durrett, Dan Klein:
Disfluency Detection with a Semi-Markov Model and Prosodic Features. HLT-NAACL 2015: 257-262 - [i2]Greg Durrett, Dan Klein:
Neural CRF Parsing. CoRR abs/1507.03641 (2015) - 2014
- [j1]Greg Durrett, Dan Klein:
A Joint Model for Entity Analysis: Coreference, Typing, and Linking. Trans. Assoc. Comput. Linguistics 2: 477-490 (2014) - [c9]David Hall, Greg Durrett, Dan Klein:
Less Grammar, More Features. ACL (1) 2014: 228-237 - 2013
- [c8]Greg Durrett, David Hall, Dan Klein:
Decentralized Entity-Level Modeling for Coreference Resolution. ACL (1) 2013: 114-124 - [c7]Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein:
Unsupervised Transcription of Historical Documents. ACL (1) 2013: 207-217 - [c6]Greg Durrett, Dan Klein:
Easy Victories and Uphill Battles in Coreference Resolution. EMNLP 2013: 1971-1982 - [c5]Greg Durrett, John DeNero:
Supervised Learning of Complete Morphological Paradigms. HLT-NAACL 2013: 1185-1195 - 2012
- [c4]Greg Durrett, Adam Pauls, Dan Klein:
Syntactic Transfer Using a Bilingual Lexicon. EMNLP-CoNLL 2012: 1-11 - 2011
- [c3]Greg Durrett, Dan Klein:
An Empirical Investigation of Discounting in Cross-Domain Language Models. ACL (2) 2011: 24-29 - [c2]Greg Durrett, Frank Neumann, Una-May O'Reilly:
Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics. FOGA 2011: 69-80 - 2010
- [c1]Greg Durrett, Muriel Médard, Una-May O'Reilly:
A Genetic Algorithm to Minimize Chromatic Entropy. EvoCOP 2010: 59-70 - [i1]Greg Durrett, Frank Neumann, Una-May O'Reilly:
Computational Complexity Analysis of Simple Genetic Programming On Two Problems Modeling Isolated Program Semantics. CoRR abs/1007.4636 (2010)
Coauthor Index
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