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Joe Stacey

Joe Stacey has 2 papers in our library, in 2020–2026, most of them on Reasoning; often with Aaron Mueller, Beyza Ermis, Haim Dubossarsky.

2 papers in our library · 2020–2026

OpenAlex · h-index 4 · 25 works · 95 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 35 times in our library · ⭐ Paper Stars ranking: #7315

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Imperial College LondonLondon · United Kingdom2021–2026 · 15 paperscurrent🎓University of SheffieldSheffield · United Kingdom2026 · 5 paperscurrent

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2020s

20261 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training (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 (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.

Venues

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

 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 →.

Updated

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