7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Mellum2 Technical Report
Marko Kojic, Ivan Bondyrev, Aral de Moor +6
We present Mellum 2, an open-weight 12B-parameter Mixture-of-Experts (MoE) language model with 2.5B active parameters per token. Mellum 2 is a general-purpose language model specia…
cs.SE2024★ 7 cited
A Transformer-Based Approach for Smart Invocation of Automatic Code Completion
Aral de Moor, Arie van Deursen, Maliheh Izadi
Transformer-based language models are highly effective for code completion, with much research dedicated to enhancing the content of these completions. Despite their effectiveness,…