---
title: "Robin Jia — papers and cards"
description: "Robin Jia: 2 paper cards in the Research library (2017–2018), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/robin-jia/"
---
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# Robin Jia

2 paper cards in the Research library · 2017–2018

Robin Jia wrote 2 of the papers Mova reads, in 2017–2018, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/), He He, Juncen Li.

[OpenAlex](https://openalex.org/A5041906762) · [ORCID](https://orcid.org/0009-0002-8123-7132) · [**h-index 18**](https://openalex.org/authors/A5041906762) · [6309 citations](https://openalex.org/authors/A5041906762) · [102 works](https://openalex.org/works?filter=author.id:A5041906762) — openalex-snapshot, 2026-10-14

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=Robin+Jia) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Robin+Jia) · [dblp](https://dblp.org/search?q=Robin+Jia) · [ACL Anthology](https://aclanthology.org/search/?q=Robin+Jia) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Robin+Jia)

Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1

## Papers

1. **[Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer](https://md.research.elamur.ai/free/en/papers/li-2018-delete-retrieve-generate-simple-approach/)** *(2018)* The paper transfers an attribute such as sentiment or style without parallel data. It assumes that a sentence's attribute shows up as a few distinctive phrases, such as a comparative phrase for a negative review. The method has three steps. Delete: score each n-gram by how much more often it appears in one attribute…
2. **[Adversarial Examples for Evaluating Reading Comprehension Systems](https://md.research.elamur.ai/free/en/papers/jia-2017-adversarial-examples-evaluating-reading-comprehension/)** *(2017)* To test whether SQuAD readers understand or only match words, the authors add one distracting sentence to the paragraph that shares many words with the question but does not answer it.

## Co-authors (3)

- [Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/) ×2
- He He
- Juncen Li

## More papers in the library (4)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little](https://md.research.elamur.ai/free/en/papers/sinha-2021-masked-language-modeling-distributional-hypothesis/) — Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al. · 2021
- [Certified Robustness to Adversarial Word Substitutions](https://md.research.elamur.ai/free/en/papers/jia-2019-certified-robustness-adversarial-word-substitutions/) — Robin Jia, Aditi Raghunathan, Kerem Göksel, et al. · 2019
- [MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension](https://md.research.elamur.ai/free/en/papers/fisch-2019-mrqa-2019-shared-task-evaluating/) — Adam Fisch, Alon Talmor, Robin Jia, et al. · 2019
- [Know What You Don't Know: Unanswerable Questions for SQuAD](https://md.research.elamur.ai/free/en/papers/rajpurkar-2018-know-what-you-don-t/) — Pranav Rajpurkar, Robin Jia, Percy Liang · 2018
