Mathias Sablé-Meyer

Mathias Sablé-Meyer has 2 papers in our library, in 2020–2023, most of them on Language models & pretraining; often with Armando Solar-Lezama, Catherine Wong, Joshua B. Tenenbaum.

2 papers in our library · 2020–2023

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DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning (2020 · 22 citations)
Program induction treats learning a task as finding a program that produces the desired behavior. It generalizes well from a few examples and yields knowledge humans can read. In practice, though, it has relied on hand-crafted domain-specific languages (DSLs) and search procedures tuned to them. DreamCoder learns…
Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models (2023 · 1 citation)
The study asks how the distance between an attractor noun and the verb affects subject–verb number agreement in people and in neural language models.

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Papers of our library cite their works 23 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated 3 November 2026