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Grace Proebsting

Grace Proebsting has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning; often with Adam Poliak.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 2 · 4 works · 19 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 41 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10913

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

🎓Haverford CollegeHaverford · United States2025 · 1 papercurrent🎓Northeastern UniversityBoston · United StatesEmployment · Computer Science

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 2 works

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Hypothesis-only Biases in Large Language Model-Elicited Natural Language Inference (2024 · 2 citations)
    Crowdsourced NLI corpora are known to contain annotation artifacts: cues in the hypothesis alone reveal the label.
  2. Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference (2025 · 1 citation)
    Researchers increasingly use LLMs instead of crowd workers to write dataset text. This paper asks whether such machine-written data inherits the flaws known from human-written corpora: annotation artifacts and social stereotypes. The authors use Natural Language Inference as the test case. They give GPT-4, Llama-2…

All works

3 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. Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks ↗arXiv:2411.04468 · no summary yetAdam Fourney et al.2024 · 54 citations
  2. Hypothesis-only Biases in Large Language Model-Elicited Natural Language InferencearXiv:2410.08996Grace Proebsting, Adam Poliak2024 · 2 citations
  3. Biases in Large Language Model-Elicited Text: A Case Study in Natural Language InferenceInternational Conference on Computational Linguistics (COLING)Grace Proebsting, Adam Poliak2025 · 1 citation

 Co-authors here

1 co-author 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 41 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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