---
title: "Richard Shin — author profile and papers — Elamur Research"
description: "Richard Shin, Microsoft: 2 papers on Elamur Research (2020–2022), h-index 12 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/richard-shin/"
---
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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](https://md.research.elamur.ai/free/en/topics/semantic-parsing/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Bailin Wang](https://md.research.elamur.ai/free/en/authors/bailin-wang/), [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/), [Matthew Richardson](https://md.research.elamur.ai/free/en/authors/matthew-richardson/).

2 papers in our library · 2020–2022

[OpenAlex](https://openalex.org/A5103861525) · [**h-index 12**](https://openalex.org/authors/A5103861525) · [24 works](https://openalex.org/works?filter=author.id:A5103861525) · [1,172 citations](https://openalex.org/works?filter=author.id:A5103861525&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/richard-shin/#papers) · [🔗 Cited 441 times in our library](https://md.research.elamur.ai/free/en/authors/richard-shin/cited-by/) · [14 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2800](https://md.research.elamur.ai/free/en/paper-stars/page/28/#star-2800)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Richard+Shin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Richard+Shin) · [dblp](https://dblp.org/search?q=Richard+Shin) · [ACL Anthology](https://aclanthology.org/search/?q=Richard+Shin)

## Affiliations

[🏢**Microsoft** Redmond · United States 2023–2024 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of California, Berkeley** Berkeley · United States 2011–2020 · 12 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/)

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.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/)

🧭 Topics 3 Research subjects and languages the work is about.[Semantic parsing & meaning representation · 2 works](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

💡 Concepts 2 Key ideas and methods explained on our concept pages.[Parsing · 1 work](https://md.research.elamur.ai/free/en/concepts/parsing/) · [Semantic parsing · 1 work](https://md.research.elamur.ai/free/en/concepts/semantic-parsing/)

## Works by year

### 2020s

[**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/richard-shin/year/2022/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/richard-shin/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers](https://md.research.elamur.ai/free/en/papers/wang-2020-rat-sql-relation-aware-schema/)** *(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](https://md.research.elamur.ai/free/en/papers/shin-2022-few-shot-semantic-parsing-language/)** *(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. **[RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers](https://md.research.elamur.ai/free/en/papers/wang-2020-rat-sql-relation-aware-schema/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bailin Wang, Richard Shin, Xiaodong Liu, et al.*2020 · 753 citations*
2. **[Constrained Language Models Yield Few-Shot Semantic Parsers ↗](https://aclanthology.org/2021.emnlp-main.608/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Richard Shin et al.*2021 · 238 citations*
3. **[A Systematic Analysis of XSS Sanitization in Web Application Frameworks ↗](https://doi.org/10.1007/978-3-642-23822-2_9) Lecture notes in computer science · no summary yet**Joel Weinberger et al.*2011 · 122 citations*
4. **[Making Neural Programming Architectures Generalize via Recursion ↗](https://arxiv.org/abs/1704.06611) arXiv:1704.06611 · no summary yet**Jonathon Cai, Richard Shin, Dawn Song*2017 · 120 citations*
5. **[Differentiable Neural Network Architecture Search ↗](https://openalex.org/W2902994895) International Conference on Learning Representations · no summary yet**Richard Shin, Charles Packer, Dawn Xiaodong Song*2018 · 83 citations*
6. **[Few-Shot Semantic Parsing with Language Models Trained on Code](https://md.research.elamur.ai/free/en/papers/shin-2022-few-shot-semantic-parsing-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Richard Shin, Benjamin Van Durme*2022 · 72 citations*
7. **[Neural Code Completion ↗](https://openalex.org/W2753108589) no summary yet**Chang Liu et al.*2017 · 46 citations*
8. **[Synthetic Datasets for Neural Program Synthesis ↗](https://arxiv.org/abs/1912.12345) arXiv (Cornell University) · no summary yet**Richard Shin et al.*2019 · 30 citations*
9. **[Parametrized Hierarchical Procedures for Neural Programming ↗](https://openalex.org/W2786760026) International Conference on Learning Representations · no summary yet**Roy Fox et al.*2018 · 20 citations*
10. **[PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices ↗](https://doi.org/10.1109/icdcs.2017.68) IEEE International Conference on Distributed Computing Systems (ICDCS) · no summary yet**Neil Zhenqiang Gong et al.*2017 · 19 citations*
11. **[Towards Specification-Directed Program Repair ↗](https://openalex.org/W2910663469) International Conference on Learning Representations · no summary yet**Richard Shin, Illia Polosukhin, Dawn Song*2018 · 10 citations*
12. **[Tree-Structured Variational Autoencoder ↗](https://openalex.org/W2751260683) no summary yet**Richard Shin et al.*2017 · 3 citations*
13. **[Hierarchical Variational Imitation Learning of Control Programs ↗](https://arxiv.org/abs/1912.12612) arXiv (Cornell University) · no summary yet**Roy Fox et al.*2019 · 1 citation*
14. **[Hierarchical Imitation Learning via Variational Inference of Control Programs ↗](https://openalex.org/W2923839120) no summary yet**Roy Fox et al.*2018 · 1 citation*
15. **[Imitation Learning of Hierarchical Programs via Variational Inference ↗](https://openalex.org/W2941932758) International Conference on Machine Learning · no summary yet**Roy Fox et al.*2018*
16. **[Learning what to learn in a neural program ↗](https://openalex.org/W2787381285) no summary yet**Richard Shin, Dawn Xiaodong Song*2018*

## Co-authors here

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

- [Bailin Wang](https://md.research.elamur.ai/free/en/authors/bailin-wang/)
- [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/)
- [Matthew Richardson](https://md.research.elamur.ai/free/en/authors/matthew-richardson/)
- [Oleksandr Polozov](https://md.research.elamur.ai/free/en/authors/oleksandr-polozov/)
- [Xiaodong Liu](https://md.research.elamur.ai/free/en/authors/xiaodong-liu/)

## Venues

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

- International Conference on Learning Representations ×3
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2022](https://md.research.elamur.ai/free/en/venues/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

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 →](https://md.research.elamur.ai/free/en/authors/richard-shin/cited-by/).

Updated 30 October 2026
