Richard Shin
Richard Shin has 2 papers in our library, in 2020–2022, most of them on Semantic parsing & meaning representation, Language models & pretraining, Code & programming languages; often with Bailin Wang, Benjamin Van Durme, Matthew Richardson.
OpenAlex · h-index 12 · 24 works · 1,172 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 441 times in our library · 14 more in our library without a page yet · ⭐ Paper Stars ranking: #2800
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Networks and Communications · 1 work
🧭 Topics 3Research subjects and languages the work is about.Semantic parsing & meaning representation · 2 worksCode & programming languages · 1 workLanguage models & pretraining · 1 work
💡 Concepts 2Key ideas and methods explained on our concept pages.Parsing · 1 workSemantic parsing · 1 work
Works by year
2020s
Papers
- RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers (2020 · 753 citations)
The paper addresses the translation of natural language questions into SQL queries over databases whose schemas the model has not seen during training. - Few-Shot Semantic Parsing with Language Models Trained on Code (2022 · 72 citations)
This paper asks whether language models pre-trained partly on source code are better few-shot semantic parsers than models trained mainly on prose.
All works
- RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL ParsersAnnual Meeting of the Association for Computational Linguistics (ACL)Bailin Wang, Richard Shin, Xiaodong Liu, et al.2020 · 753 citations
- Constrained Language Models Yield Few-Shot Semantic Parsers ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetRichard Shin et al.2021 · 238 citations
- A Systematic Analysis of XSS Sanitization in Web Application Frameworks ↗Lecture notes in computer science · no summary yetJoel Weinberger et al.2011 · 122 citations
- Making Neural Programming Architectures Generalize via Recursion ↗arXiv:1704.06611 · no summary yetJonathon Cai, Richard Shin, Dawn Song2017 · 120 citations
- Differentiable Neural Network Architecture Search ↗International Conference on Learning Representations · no summary yetRichard Shin, Charles Packer, Dawn Xiaodong Song2018 · 83 citations
- Few-Shot Semantic Parsing with Language Models Trained on CodeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Richard Shin, Benjamin Van Durme2022 · 72 citations
- Neural Code Completion ↗no summary yetChang Liu et al.2017 · 46 citations
- Synthetic Datasets for Neural Program Synthesis ↗arXiv (Cornell University) · no summary yetRichard Shin et al.2019 · 30 citations
- Parametrized Hierarchical Procedures for Neural Programming ↗International Conference on Learning Representations · no summary yetRoy Fox et al.2018 · 20 citations
- PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices ↗IEEE International Conference on Distributed Computing Systems (ICDCS) · no summary yetNeil Zhenqiang Gong et al.2017 · 19 citations
- Towards Specification-Directed Program Repair ↗International Conference on Learning Representations · no summary yetRichard Shin, Illia Polosukhin, Dawn Song2018 · 10 citations
- Tree-Structured Variational Autoencoder ↗no summary yetRichard Shin et al.2017 · 3 citations
- Hierarchical Variational Imitation Learning of Control Programs ↗arXiv (Cornell University) · no summary yetRoy Fox et al.2019 · 1 citation
- Hierarchical Imitation Learning via Variational Inference of Control Programs ↗no summary yetRoy Fox et al.2018 · 1 citation
- Imitation Learning of Hierarchical Programs via Variational Inference ↗International Conference on Machine Learning · no summary yetRoy Fox et al.2018
- Learning what to learn in a neural program ↗no summary yetRichard Shin, Dawn Xiaodong Song2018
Co-authors here
Venues
- International Conference on Learning Representations ×3
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2020
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2022
- IEEE International Conference on Distributed Computing Systems (ICDCS)
- International Conference on Machine Learning
- Lecture notes in computer science
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Cited by
Updated
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