Reid Pryzant - Concepedia

Author

Reid Pryzant

Stanford University

Also Known As

Li, Yunsheng, Pryzant, Reid, Reid Pryzant

Publications

Citations

H-Index

Concepts

All Affiliations

Stanford University Technion – Israel Institute of Technology Georgia Institute of Technology University of Chicago Google (United States)

About

Reid Pryzant is an author at Stanford University specializing in natural language processing, engineering, and language processing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	567
2	Language Studies	3	3	256
3	Arts	1	1	129
4	Education	1	1	59
5	Management	1	1	30

Reid Pryzant

Publications

840

Citations

H-Index

Page 1

	Year	Citations
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder, Katherine A. Keith, Emaad Manzoor, Transactions of the Association for Computational Linguistics EngineeringCausal RelationshipsTextual EntailmentCorpus LinguisticsJournalism	2022	182
Automatically Neutralizing Subjective Bias in Text Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Proceedings of the AAAI Conference on Artificial Intelligence EngineeringMedia StandardsCorpus LinguisticsJournalismSentiment Analysis	2020	129
Automatic Prompt Optimization with “Gradient Descent” and Beam Search Reid Pryzant, Dan Iter, Jerry Li, Search OptimizationArtificial IntelligenceLlm Fine-tuningEngineeringMachine Learning	2023	122
Effective Domain Mixing for Neural Machine Translation Denny Britz, Quoc V. Le, Reid Pryzant	2017	109
Deconfounded Lexicon Induction for Interpretable Social Science Reid Pryzant, Kelly Shen, Dan Jurafsky, Stefan WagnerEngineeringLexical SemanticsSemanticsCorpus Linguistics	2018	64
Prompt Engineering a Prompt Engineer Q. Ye, Mohamed Ahmed, Reid Pryzant, Philosophy Of EngineeringStem EducationSystem Engineering EducationPrompt EngineerDesign	2024	59
Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning Reid Pryzant, Stefano Ermon, David B. Lobell Earth ObservationPrecision AgricultureEnvironmental MonitoringMachine LearningEngineering	2017	35
Predicting Sales from the Language of Product Descriptions. Reid Pryzant, Youngjoo Chung, Dan Jurafsky International ACM SIGIR Conference on Research and Development in Information Retrieval Marketing AnalyticsNatural Language ProcessingProduct DescriptionsManagementSale Research	2017	30
i-Code: An Integrative and Composable Multimodal Learning Framework Ziyi Yang, Yuwei Fang, Chenguang Zhu, Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceNatural Language ProcessingMultimodal LlmEngineeringMachine Learning	2023	25
Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style Reid Pryzant, Sugato Basu, Kazoo Sone	2018	21

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