---
title: "Ieva Staliunaite — author profile and papers · Machine translation"
description: "Ieva Staliunaite, University of Cambridge: 2 papers on Elamur Research (2024–2026), h-index 5 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/ieva-staliunaite/"
---
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# Ieva Staliunaite

Ieva Staliunaite has 2 papers in our library, in 2024–2026, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [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 [Andreas Vlachos](https://md.research.elamur.ai/free/en/authors/andreas-vlachos/), [Gisela Vallejo](https://md.research.elamur.ai/free/en/authors/gisela-vallejo/), [Iryna Gurevych](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5053917107) · [**h-index 5**](https://openalex.org/authors/A5053917107) · [18 works](https://openalex.org/works?filter=author.id:A5053917107) · [88 citations](https://openalex.org/works?filter=author.id:A5053917107&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ieva-staliunaite/#papers) · [🔗 Cited 31 times in our library](https://md.research.elamur.ai/free/en/authors/ieva-staliunaite/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8008](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8008)

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

## Affiliations

[🎓**University of Cambridge** Cambridge · United Kingdom 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🏢**Huawei Technologies** Shenzhen · China 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 8 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/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/)

🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/ieva-staliunaite/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/ieva-staliunaite/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[AmbiFC: Fact-Checking Ambiguous Claims with Evidence](https://md.research.elamur.ai/free/en/papers/glockner-2024-ambifc-fact-checking-ambiguous-claims/)** *(2024 · 42 citations)* Most fact-checking benchmarks expect one veracity verdict per claim. Real evidence, however, often allows several reasonable readings, and human annotators then disagree legitimately. AmbiFC addresses this gap. It is an English dataset of about 10k claims, built by having Mechanical Turk workers turn real yes/no…
2. **[Uncertainty Quantification for Evaluating Gender Bias in Machine Translation](https://md.research.elamur.ai/free/en/papers/staliunaite-2026-uncertainty-quantification-evaluating-gender-bias/)** *(2026 · 1 citation)* Standard gender-bias evaluation in machine translation relies on gender accuracy, which only works when the source sentence settles the referent's gender.

## All works

4 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. **[AmbiFC: Fact-Checking Ambiguous Claims with Evidence](https://md.research.elamur.ai/free/en/papers/glockner-2024-ambifc-fact-checking-ambiguous-claims/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Max Glockner, Ieva Staliūnaitė, James Thorne, et al.*2024 · 42 citations*
2. **[Comparative Study of Explainability Methods for Legal Outcome Prediction ↗](https://aclanthology.org/2024.nllp-1.20/) Proceedings of the Natural Legal Language Processing Workshop 2024 · no summary yet**Ieva Staliunaite, Josef Valvoda, Ken Satoh*2024 · 3 citations*
3. **[Uncertainty Quantification for Evaluating Gender Bias in Machine Translation](https://md.research.elamur.ai/free/en/papers/staliunaite-2026-uncertainty-quantification-evaluating-gender-bias/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ieva Staliunaite, Julius Cheng, Andreas Vlachos*2026 · 1 citation*
4. **[Uncertainty Quantification for Evaluating Machine Translation Bias ↗](https://arxiv.org/abs/2507.18338) arXiv:2507.18338 · no summary yet**Ieva Raminta Staliunaite, Julius Cheng, Andreas Vlachos*2025 · 1 citation*

## Co-authors here

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

- [Andreas Vlachos](https://md.research.elamur.ai/free/en/authors/andreas-vlachos/) ×2
- [Gisela Vallejo](https://md.research.elamur.ai/free/en/authors/gisela-vallejo/)
- [Iryna Gurevych](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/)
- [James Thorne](https://md.research.elamur.ai/free/en/authors/james-thorne/)
- [Julius Cheng](https://md.research.elamur.ai/free/en/authors/julius-cheng/)
- [Max Glockner](https://md.research.elamur.ai/free/en/authors/max-glockner/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2024](https://md.research.elamur.ai/free/en/venues/tacl/2024/)
- Proceedings of the Natural Legal Language Processing Workshop 2024

## Cited by

Papers of our library cite their works 31 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ieva-staliunaite/cited-by/).

Updated 30 October 2026
