---
title: "Joyce Chai — author profile and papers"
description: "Joyce Chai, University of Michigan: 2 papers on Elamur Research (2019–2020), h-index 32 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/joyce-chai/"
---
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# Joyce Chai

Joyce Chai has 2 papers in our library, in 2019–2020, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Angeliki Lazaridou](https://md.research.elamur.ai/free/en/authors/angeliki-lazaridou/), [Ari Holtzman](https://md.research.elamur.ai/free/en/authors/ari-holtzman/), [Jacob Andreas](https://md.research.elamur.ai/free/en/authors/jacob-andreas/).

2 papers in our library · 2019–2020

[OpenAlex](https://openalex.org/A5026638047) · [ORCID](https://orcid.org/0000-0002-9658-2230) · [Wikidata](https://www.wikidata.org/wiki/Q64994997) · [**h-index 32**](https://openalex.org/authors/A5026638047) · [183 works](https://openalex.org/works?filter=author.id:A5026638047) · [3,787 citations](https://openalex.org/works?filter=author.id:A5026638047&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/joyce-chai/#papers) · [🔗 308 citations in our library](https://md.research.elamur.ai/free/en/authors/joyce-chai/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Star rank #2798](https://md.research.elamur.ai/free/en/paper-stars/page/28/#star-2798)

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=Joyce+Chai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Joyce+Chai) · [dblp](https://dblp.org/search?q=Joyce+Chai) · [ACL Anthology](https://aclanthology.org/search/?q=Joyce+Chai)

## Affiliations

[🎓**University of Michigan** Ann Arbor · United States 2013–2026 · 54 papersEmployment since 2019*current*](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🎓**Michigan State University** East Lansing · United States 2003–2019 · 82 papersEmployment](https://md.research.elamur.ai/free/en/universities/michigan-state-university/) · [🏢**IBM** Armonk · United States 2000–2008 · 10 papers](https://md.research.elamur.ai/free/en/companies/ibm/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2000–2008 · 9 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) · [🎓**Duke University** Durham · United States 1995–1997 · 4 papersEducation](https://md.research.elamur.ai/free/en/universities/duke-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

## Topics

[Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/bisk-2020-experience-grounds-language/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/papers/storks-2019-recent-advances-natural-language-inference/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Experience Grounds Language](https://md.research.elamur.ai/free/en/papers/bisk-2020-experience-grounds-language/)** *(2020 · 429 citations)* This position paper argues that progress in language understanding is limited because models learn almost entirely from text, cut off from the physical world and the social interaction that give utterances meaning.
2. **[Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches](https://md.research.elamur.ai/free/en/papers/storks-2019-recent-advances-natural-language-inference/)** *(2019 · 134 citations)* This survey maps the fast-growing area of natural language inference (NLI), understood broadly as a machine's ability to draw conclusions that a text implies but never states, using knowledge of the world and reasoning.

## Also in our library

3 more works of theirs are in our library without a page here yet; they will appear as we publish them.

## Co-authors here

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

- [Angeliki Lazaridou](https://md.research.elamur.ai/free/en/authors/angeliki-lazaridou/)
- [Ari Holtzman](https://md.research.elamur.ai/free/en/authors/ari-holtzman/)
- [Jacob Andreas](https://md.research.elamur.ai/free/en/authors/jacob-andreas/)
- [Jesse Thomason](https://md.research.elamur.ai/free/en/authors/jesse-thomason/)
- [Jonathan May](https://md.research.elamur.ai/free/en/authors/jonathan-may/)
- [Joseph Turian](https://md.research.elamur.ai/free/en/authors/joseph-turian/)
- [Mirella Lapata](https://md.research.elamur.ai/free/en/authors/mirella-lapata/)
- [Yonatan Bisk](https://md.research.elamur.ai/free/en/authors/yonatan-bisk/)
- [Yoshua Bengio](https://md.research.elamur.ai/free/en/authors/yoshua-bengio/)

## Cited by

Papers of our library cite their works 308 times (of the 140,884 papers whose bibliographies we read); [24 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/joyce-chai/cited-by/).
