1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SE2025
Mellum: Production-Grade in-IDE Contextual Code Completion with Multi-File Project Understanding
Nikita Pavlichenko, Iurii Nazarov, Ivan Dolgov +10
We present the Mellum models family, open-weight code completion models designed for interactive use in JetBrains IDEs. Mellums have 4B parameters, adopt a Llama-style architecture…
cs.CL2024
Reliable, Reproducible, and Really Fast Leaderboards with Evalica
Dmitry Ustalov
The rapid advancement of natural language processing (NLP) technologies, such as instruction-tuned large language models (LLMs), urges the development of modern evaluation protocol…
cs.CV2023★ 1 cited
Toloka Visual Question Answering Benchmark
Dmitry Ustalov, Nikita Pavlichenko, Sergey Koshelev +2
In this paper, we present Toloka Visual Question Answering, a new crowdsourced dataset allowing comparing performance of machine learning systems against human level of expertise i…