3 citations · 4 across the 4 of their papers we have counts for
4 papers
Diffract: Spectral View of LLM Domain Adaptation
Nikita Borodin, Maria Krylova, Artem Zabolotnyi +6
We study continual pre-training (CPT) as a mechanism for adapting general-purpose large language models to specialized domains: mathematics, instruction, code, and natural text. Us…
ALIEN: Aligned Entropy Head for Improving Uncertainty Estimation of LLMs
Artem Zabolotnyi, Roman Makarov, Mile Mitrovic +4
Uncertainty estimation remains a key challenge when adapting pre-trained language models to downstream classification tasks, with overconfidence often observed for difficult inputs…
Label Attention Network for Temporal Sets Prediction: You Were Looking at a Wrong Self-Attention
Elizaveta Kovtun, Galina Boeva, Andrey Shulga +1
Most user-related data can be represented as a sequence of events associated with a timestamp and a collection of categorical labels. For example, the purchased basket of goods and…
Continuous-time convolutions model of event sequences
Vladislav Zhuzhel, Vsevolod Grabar, Galina Boeva +9
Event sequences often emerge in data mining. Modeling these sequences presents two main challenges: methodological and computational. Methodologically, event sequences are non-unif…