Joshua Lochner

Joshua Lochner has 2 papers in our library, in 2025, most of them on Language models & pretraining, Vision & language; often with Andrés Marafioti, Anton Lozhkov, Elie Bakouch.

2 papers in our library · 2025

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SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language Model (2025 · 181 citations)
Small language models are cheap to run and fit on devices like phones. Because they have limited capacity, though, the quality and balance of their training data matter even more than for large models. In SmolLM2, the Hugging Face team treats data design as the main lever for performance. They built a 1.7B-parameter…
SmolVLM: Redefining small and efficient multimodal models (2025 · 56 citations)
Most compact vision-language models are shrunken copies of large ones. They inherit memory-hungry choices, such as producing many visual tokens per image, which makes them impractical on phones and edge hardware. The SmolVLM authors at Hugging Face and Stanford redesigned a small VLM from scratch. They paired SmolLM2…

10 co-authors with a page, the most papers together first.

Papers of our library cite their works 217 times (of the 149,439 papers whose bibliographies we read); 51 citing papers with a page here →.

Updated 3 November 2026