Gabriel Grand
Gabriel Grand has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks; often with Archit Sharma, Benjamin Lipkin, Joshua B. Tenenbaum.
OpenAlex · ORCID · h-index 7 · 30 works · 903 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 75 times in our library · ⭐ Paper Stars ranking: #9211
Affiliations
Fields, topics and concepts
📚 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 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Stream of Search (SoS): Learning to Search in Language (2024 · 49 citations)
Autoregressive language models are usually trained only on finished, correct answers, so they never see a solver hit dead ends and recover. - Evaluating statistical language models as pragmatic reasoners (2023 · 18 citations)
Vague words such as "strong" have no fixed cutoff, so their interpretation depends on context. Classic accounts compute this with recursive Bayesian models such as Rational Speech Acts (RSA). Lipkin and colleagues test whether a large language model can do this work without explicit computation. They describe a…
Co-authors here
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/gabriel-grand/