Dan Roth

Most-cited papers

Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
Bonan Min, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh +5 more
2021ACM Computing Surveys1,684 citations Open access
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Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot +2 more
2021Transactions of the Association for Computational Linguistics1,236 citations Open access
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Multi-lingual Evaluation of Code Generation Models
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li +21 more
2022International Conference on Learning Representations265 citations Open access
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Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He, Hong-Ming Zhang, Dan Roth
2022arXiv.org211 citations Open access
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ReCode: Robustness Evaluation of Code Generation Models
Shiqi Wang, Zheng Li, Haifeng Qian, Cheng Yang +10 more
2022Annual Meeting of the Association for Computational Linguistics179 citations Open access
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BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language
Philip A. Huebner, Elior Sulem, Fisher Cynthia, Dan Roth
2021Conference on Computational Natural Language Learning166 citations Open access
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Cross-modal Map Learning for Vision and Language Navigation
G. Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan +3 more
2022Computer Vision and Pattern Recognition161 citations Open access
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CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, M. Ramanathan +4 more
2022International Conference on Language Resources and Evaluation121 citations Open access
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Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Sihao Chen, Fan Zhang, Kazoo Sone, Dan Roth
2021North American Chapter of the Association for Computational Linguistics120 citations Open access
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Zero-shot Event Extraction via Transfer Learning: Challenges and Insights
Qing Lyu, Hong-Ming Zhang, Elior Sulem, Dan Roth
2021Annual Meeting of the Association for Computational Linguistics115 citations Open access
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Label Semantics for Few Shot Named Entity Recognition
Jie Ma, Miguel Ballesteros, Srikanth Doss Kadarundalagi Raghuram Doss, Rishita Anubhai +3 more
2022Findings87 citations Open access
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On the Limitations of Reference-Free Evaluations of Generated Text
Daniel Deutsch, Rotem Dror, Dan Roth
2022Conference on Empirical Methods in Natural Language Processing84 citations Open access
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Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta +2 more
2022International Conference on Machine Learning81 citations
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Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale
Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, S. Bodapati +2 more
2022Annual Meeting of the Association for Computational Linguistics78 citations Open access
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RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System
Haoyang Wen, Ying Lin, T. Lai, Xiao-Man Pan +22 more
2021North American Chapter of the Association for Computational Linguistics65 citations Open access
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SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables
N. Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych
2021NeurIPS Datasets and Benchmarks64 citations
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Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis
Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu +6 more
2022Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis56 citations Open access
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Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics
Daniel Deutsch, Rotem Dror, Dan Roth
2022North American Chapter of the Association for Computational Linguistics55 citations Open access
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Comparing Biases and the Impact of Multilingual Training across Multiple Languages
Sharon Levy, Neha Ann John, Ling Liu, Yogarshi Vyas +5 more
2023Conference on Empirical Methods in Natural Language Processing53 citations Open access
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Privacy Adhering Machine Un-learning in NLP
Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth
2022International Joint Conference on Natural Language Processing52 citations Open access
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Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema
Yanai Elazar, Hong-Ming Zhang, Yoav Goldberg, Dan Roth
2021Conference on Empirical Methods in Natural Language Processing49 citations Open access
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DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization
Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati +4 more
2022Annual Meeting of the Association for Computational Linguistics48 citations Open access
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Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner
D. Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong +7 more
2022NAACL-HLT46 citations Open access
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Label Semantic Aware Pre-training for Few-shot Text Classification
Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour +3 more
2022Annual Meeting of the Association for Computational Linguistics41 citations Open access
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RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios
Xinya Du, Zixuan Zhang, Sha Li, Ziqi Wang +30 more
2022North American Chapter of the Association for Computational Linguistics39 citations Open access
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Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries
Daniel Deutsch, Dan Roth
2021Conference on Computational Natural Language Learning38 citations Open access
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Learning to Decompose and Organize Complex Tasks
Yi Zhang, S. Jauhar, Julia Kiseleva, R. White +1 more
2021North American Chapter of the Association for Computational Linguistics38 citations Open access
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Event-Centric Natural Language Processing
Muhao Chen, Hong-Ming Zhang, Qiang Ning, Man-Ling Li +3 more
2021Annual Meeting of the Association for Computational Linguistics37 citations Open access
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PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition
Sihao Chen, S. Buthpitiya, Alex Fabrikant, Dan Roth +1 more
2022Annual Meeting of the Association for Computational Linguistics36 citations Open access
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Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge
Xingyu Fu, Shenmin Zhang, Gukyeong Kwon, Pramuditha Perera +9 more
2023Annual Meeting of the Association for Computational Linguistics33 citations Open access
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Long term epilepsy outcome dynamics revealed by natural language processing of clinic notes
Kevin Xie, Ryan S. Gallagher, R. Shinohara, Sharon X. Xie +6 more
2023Epilepsia32 citations Open access
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Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts
Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth
2022Conference on Empirical Methods in Natural Language Processing30 citations Open access
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Causal Inference Principles for Reasoning about Commonsense Causality
Jiayao Zhang, Hong-Ming Zhang, Dan Roth, Weijie Su
2022International Conference on Machine Learning30 citations
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Weighted Training for Cross-Task Learning
Shuxiao Chen, K. Crammer, Han He, Dan Roth +1 more
2021International Conference on Learning Representations30 citations
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Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach
Jiayao Zhang, Hong-Ming Zhang, Zhun Deng, Dan Roth
2022arXiv.org29 citations Open access
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STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
D. Ribeiro, Shen Wang, Xiaofei Ma, He Zhu +9 more
2023International Conference on Learning Representations28 citations Open access
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There’s a Time and Place for Reasoning Beyond the Image
Xingyu Fu, Ben Zhou, I. Chandratreya, Carl Vondrick +1 more
2022Annual Meeting of the Association for Computational Linguistics27 citations Open access
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Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions
Elior Sulem, Jamaal Hay, Dan Roth
2022North American Chapter of the Association for Computational Linguistics26 citations Open access
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A Static Evaluation of Code Completion by Large Language Models
Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang +8 more
2023Annual Meeting of the Association for Computational Linguistics25 citations Open access
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Generic Temporal Reasoning with Differential Analysis and Explanation
Yu Feng, Ben Zhou, Haoyu Wang, H. Jin +1 more
2022Annual Meeting of the Association for Computational Linguistics25 citations Open access
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Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction
Haoyu Wang, Hongming Zhang, Yuqian Deng, J. Gardner +2 more
2022Conference of the European Chapter of the Association for Computational Linguistics25 citations Open access
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Learning Constraints and Descriptive Segmentation for Subevent Detection
Haoyu Wang, Hong-Ming Zhang, Muhao Chen, Dan Roth
2021Conference on Empirical Methods in Natural Language Processing25 citations Open access
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Zero-Shot On-the-Fly Event Schema Induction
Rotem Dror, Haoyu Wang, Dan Roth
2022Findings24 citations Open access
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Do We Know What We Don't Know? Studying Unanswerable Questions beyond SQuAD 2.0
Elior Sulem, Jamaal Hay, Dan Roth
2021Conference on Empirical Methods in Natural Language Processing24 citations Open access
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Learning to Reason for Text Generation from Scientific Tables
N. Moosavi, Andreas Ruckl'e, Dan Roth, I. Gurevych
2021arXiv.org23 citations
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Event Time Extraction and Propagation via Graph Attention Networks
Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning +4 more
2021North American Chapter of the Association for Computational Linguistics23 citations Open access
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On Learning Latent Models with Multi-Instance Weak Supervision
Kaifu Wang, Efi Tsamoura, Dan Roth
2023Neural Information Processing Systems19 citations Open access
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GLUECons: A Generic Benchmark for Learning Under Constraints
Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee +6 more
2023AAAI Conference on Artificial Intelligence19 citations Open access
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A Low-Resource Approach to the Grammatical Error Correction of Ukrainian
F. Gomez, A. Rozovskaya, Dan Roth
2023UNLP19 citations Open access
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Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing
Kevin Xie, Ryan S. Gallagher, E. Conrad, Chadric O Garrick +18 more
2022J. Am. Medical Informatics Assoc.19 citations Open access
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