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Nathaniel Weir

Nathaniel Weir has 2 papers in our library, in 2024, most of them on Language models & pretraining, Reasoning; often with Benjamin Van Durme, Orion Weller, Bhavana Dalvi Mishra.

2 papers in our library · 2024

OpenAlex · h-index 7 · 41 works · 195 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 48 times in our library · ⭐ Paper Stars ranking: #7728

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

🏢AmazonSeattle · United States2026 · 3 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States2026 · 1 papercurrent🎓Johns Hopkins UniversityBaltimore · United States2020–2025 · 21 papers🎓University of ArizonaTucson · United States2024 · 3 papers🎓Brown UniversityProvidence · United States2018–2019 · 3 papers🔬Allen Institute for Artificial IntelligenceSeattle · United States2024 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. “According to . . . “: Prompting Language Models Improves Quoting from Pre-Training Data (2024 · 46 citations)
    Large language models often invent facts even though they were trained on reliable text. The authors test whether a simple cue in the prompt, such as "According to Wikipedia", can make a model reproduce more material it memorized during pre-training. To measure this, they introduce QUIP-Score (Quoted Information…
  2. Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic (2024 · 7 citations)
    Entailment-tree reasoners answer a question by recursively splitting a hypothesis into premises that should jointly support it.

 Co-authors here

12 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 48 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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