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Joshua Robinson

Joshua Robinson has 2 papers in our library, in 2022, most of them on Language models & pretraining, Question answering; often with Christopher Michael Rytting, David Wingate, Mahmoud Khalil.

2 papers in our library · 2022

OpenAlex · ORCID · Wikidata · h-index 65 · 398 works · 20,482 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 189 times in our library · ⭐ Paper Stars ranking: #4041

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

🎓Pennsylvania State UniversityState College · United States2001–2026 · 320 papersEducation 2001–2005Employmentcurrent🔬United States Naval Research LaboratoryWashington · United States2006–2020 · 8 papers🎓Western UniversityLondon · Canada1998–2003 · 7 papers🎓University of MichiganAnn Arbor · United States2009–2017 · 4 papers🎓The University of Texas at DallasRichardson · United States2015–2016 · 3 papers🎓Brigham Young UniversityProvo · United States2022 · 2 papers🔬DEVCOM Army Research LaboratoryAdelphi · United States2015–2017 · 2 papers🏢Trojan TechnologiesLondon · Canada2001–2002 · 2 papers🎓Towson UniversityTowson · United States1997–2001Education 1997–2001

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 22 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workQuestion answering · 1 work

 Works by year

2020s

20222 papersJoshua Robinson's papers of 2022

 Papers

The most cited first (OpenAlex and our library).

  1. An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels (2022 · 178 citations)
    Large language models are highly sensitive to how a prompt is worded. Picking a good template usually requires a labeled validation set, or gradient access to the model for continuous prompt tuning. Sorensen et al. propose a label-free alternative that needs only the model's output probabilities.
  2. Leveraging Large Language Models for Multiple Choice Question Answering (2022 · 157 citations)
    Large language models such as GPT-3 do well on multiple choice question answering (MCQA) in zero-, one-, and few-shot settings, yet still trail specialized state-of-the-art (SOTA) systems.

 Co-authors here

5 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 189 times (of the 141,840 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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