6 citations · 17 across the 21 of their papers we have counts for
3 papers · 1 filter
Invent a Dataset: Measuring Dataset Generation Abilities with Zero Seed Data
Shivalika Singh, Andrija Djurisic, Gbemileke Onilude +2
Building datasets remains one of the most manual and brittle parts of AI development. In this technical report, we focus on the most extreme but also most prevalent setting real wo…
SimMerge: Learning to Select Merge Operators from Similarity Signals
Oliver Bolton, Aakanksha, Arash Ahmadian +3
Model merging combines multiple models into a single model with aggregated capabilities, making it a powerful tool for large language model (LLM) development. However, scaling mode…
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
Estanislao Claucich, Sara Hooker, Diego H. Milone +2
Ensembling is commonly regarded as an effective way to improve the general performance of models in machine learning, while also increasing the robustness of predictions. When it c…