--- title: "Joe Stacey — author profile and papers — Elamur Research" description: "Joe Stacey, Imperial College London: 2 papers on Elamur Research (2020–2026), h-index 4 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/joe-stacey/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/joe-stacey/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Joe Stacey # Joe Stacey Joe Stacey has 2 papers in our library, in 2020–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Aaron Mueller](https://md.research.elamur.ai/free/en/authors/aaron-mueller/), [Beyza Ermis](https://md.research.elamur.ai/free/en/authors/beyza-ermis/), [Haim Dubossarsky](https://md.research.elamur.ai/free/en/authors/haim-dubossarsky/). 2 papers in our library · 2020–2026 [OpenAlex](https://openalex.org/A5078650400) · [**h-index 4**](https://openalex.org/authors/A5078650400) · [25 works](https://openalex.org/works?filter=author.id:A5078650400) · [95 citations](https://openalex.org/works?filter=author.id:A5078650400&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/joe-stacey/#papers) · [🔗 Cited 35 times in our library](https://md.research.elamur.ai/free/en/authors/joe-stacey/cited-by/) · [⭐ Paper Stars ranking: #7315](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7315) 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=Joe+Stacey) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Joe+Stacey) · [dblp](https://dblp.org/search?q=Joe+Stacey) · [ACL Anthology](https://aclanthology.org/search/?q=Joe+Stacey) ## Affiliations [🎓**Imperial College London** London · United Kingdom 2021–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/universities/imperial-college-london/) · [🎓**University of Sheffield** Sheffield · United Kingdom 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-sheffield/) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/joe-stacey/year/2026/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/joe-stacey/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training](https://md.research.elamur.ai/free/en/papers/stacey-2020-avoiding-hypothesis-only-bias-natural/)** *(2020 · 70 citations)* NLI datasets such as SNLI contain annotation artefacts. Negation words, for example, tend to appear in contradiction hypotheses, so a model can guess the label from the hypothesis alone and then transfer poorly to other data. Earlier work by Belinkov et al. trained a single hypothesis-only adversary against a shared… 2. **[Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection](https://md.research.elamur.ai/free/en/papers/stacey-2026-improving-ood-performance-closed-source/)** *(2026 · 1 citation)* Fine-tuning LLMs for Natural Language Inference (NLI) raises in-distribution accuracy but often lowers out-of-distribution (OOD) accuracy. ## Co-authors here 7 co-authors with a page, the most papers together first. - [Aaron Mueller](https://md.research.elamur.ai/free/en/authors/aaron-mueller/) - [Beyza Ermis](https://md.research.elamur.ai/free/en/authors/beyza-ermis/) - [Haim Dubossarsky](https://md.research.elamur.ai/free/en/authors/haim-dubossarsky/) - [Marek Rei](https://md.research.elamur.ai/free/en/authors/marek-rei/) - [Pasquale Minervini](https://md.research.elamur.ai/free/en/authors/pasquale-minervini/) - [Sebastian Riedel](https://md.research.elamur.ai/free/en/authors/sebastian-riedel/) - [Tim Rocktäschel](https://md.research.elamur.ai/free/en/authors/tim-rocktaschel/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/) - [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/) ## Cited by Papers of our library cite their works 35 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/joe-stacey/cited-by/). Updated 31 October 2026