---
title: "Jana Thompson — author profile and papers"
description: "Jana Thompson: 2 papers on Elamur Research (2022) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/jana-thompson/"
---
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# Jana Thompson

2 papers on this site · 2022

Jana Thompson has 2 papers on this site, in 2022, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Alicia Parrish](https://md.research.elamur.ai/free/en/authors/alicia-parrish/), [Angelica Chen](https://md.research.elamur.ai/free/en/authors/angelica-chen/), [Jason Phang](https://md.research.elamur.ai/free/en/authors/jason-phang/).

No OpenAlex profile matched yet.

[2 works on this site](https://md.research.elamur.ai/free/en/authors/jana-thompson/#papers) · [422 citations in our library](https://md.research.elamur.ai/free/en/authors/jana-thompson/cited-by/)

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

## Topics

[Question answering 2](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Evaluation & benchmarks 1](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Bias, fairness & safety 1](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Papers

The most cited first (OpenAlex and our library).

1. **[BBQ: A hand-built bias benchmark for question answering](https://md.research.elamur.ai/free/en/papers/parrish-2022-bbq-hand-built-bias-benchmark/)** *(2022 · 487 citations)* Language models are known to absorb social biases, but it is less clear how these biases appear in the concrete answers of applied systems such as question answering.
2. **[QuALITY: Question Answering with Long Input Texts, Yes!](https://md.research.elamur.ai/free/en/papers/pang-2022-quality-question-answering-long-input/)** *(2022 · 161 citations)* Most strong language understanding models can only handle a few hundred words at once, and current reading-comprehension benchmarks rarely require a system to understand a whole long document.

## Co-authors here

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

- [Alicia Parrish](https://md.research.elamur.ai/free/en/authors/alicia-parrish/) ×2
- [Angelica Chen](https://md.research.elamur.ai/free/en/authors/angelica-chen/) ×2
- [Jason Phang](https://md.research.elamur.ai/free/en/authors/jason-phang/) ×2
- [Nikita Nangia](https://md.research.elamur.ai/free/en/authors/nikita-nangia/) ×2
- [Samuel R. Bowman](https://md.research.elamur.ai/free/en/authors/samuel-r-bowman/) ×2
- [Vishakh Padmakumar](https://md.research.elamur.ai/free/en/authors/vishakh-padmakumar/) ×2
- [He He](https://md.research.elamur.ai/free/en/authors/he-he/)
- [Phu Mon Htut](https://md.research.elamur.ai/free/en/authors/phu-mon-htut/)
- [Richard Yuanzhe Pang](https://md.research.elamur.ai/free/en/authors/richard-yuanzhe-pang/)

## Cited by

Papers of our library cite their works 422 times (of the 140 884 papers whose bibliographies we read); [45 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jana-thompson/cited-by/).