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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.

2 papers in our library · 2020–2022

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

16 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. 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
  2. A Systematic Analysis of XSS Sanitization in Web Application Frameworks ↗Lecture notes in computer science · no summary yetJoel Weinberger et al.2011 · 122 citations
  3. Making Neural Programming Architectures Generalize via Recursion ↗arXiv:1704.06611 · no summary yetJonathon Cai, Richard Shin, Dawn Song2017 · 120 citations
  4. Differentiable Neural Network Architecture Search ↗International Conference on Learning Representations · no summary yetRichard Shin, Charles Packer, Dawn Xiaodong Song2018 · 83 citations
  5. Neural Code Completion ↗no summary yetChang Liu et al.2017 · 46 citations
  6. Synthetic Datasets for Neural Program Synthesis ↗arXiv (Cornell University) · no summary yetRichard Shin et al.2019 · 30 citations
  7. Parametrized Hierarchical Procedures for Neural Programming ↗International Conference on Learning Representations · no summary yetRoy Fox et al.2018 · 20 citations
  8. 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
  9. Towards Specification-Directed Program Repair ↗International Conference on Learning Representations · no summary yetRichard Shin, Illia Polosukhin, Dawn Song2018 · 10 citations
  10. Tree-Structured Variational Autoencoder ↗no summary yetRichard Shin et al.2017 · 3 citations
  11. Hierarchical Variational Imitation Learning of Control Programs ↗arXiv (Cornell University) · no summary yetRoy Fox et al.2019 · 1 citation
  12. Imitation Learning of Hierarchical Programs via Variational Inference ↗International Conference on Machine Learning · no summary yetRoy Fox et al.2018
  13. Learning what to learn in a neural program ↗no summary yetRichard Shin, Dawn Xiaodong Song2018

 Co-authors here

5 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 441 times (of the 149,439 papers whose bibliographies we read); 55 citing papers with a page here →.

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