10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CL2025★ 10 cited
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Loubna Ben Allal, Anton Lozhkov, Elie Bakouch +19
While large language models have facilitated breakthroughs in many applications of artificial intelligence, their inherent largeness makes them computationally expensive and challe…
cs.LG2024
Realistic Evaluation of Model Merging for Compositional Generalization
Derek Tam, Yash Kant, Brian Lester +2
Merging has become a widespread way to cheaply combine individual models into a single model that inherits their capabilities and attains better performance. This popularity has sp…