26 citations · 34 across the 4 of their papers we have counts for
4 papers
Long Input Benchmark for Russian Analysis
Igor Churin, Murat Apishev, Maria Tikhonova +5
Recent advancements in Natural Language Processing (NLP) have fostered the development of Large Language Models (LLMs) that can solve an immense variety of tasks. One of the key as…
In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss
Yuri Kuratov, Aydar Bulatov, Petr Anokhin +3
This paper addresses the challenge of processing long documents using generative transformer models. To evaluate different approaches, we introduce BABILong, a new benchmark design…
Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information
Alla Chepurova, Aydar Bulatov, Yuri Kuratov +1
Real-world Knowledge Graphs (KGs) often suffer from incompleteness, which limits their potential performance. Knowledge Graph Completion (KGC) techniques aim to address this issue.…
Recurrent Memory Transformer
Aydar Bulatov, Yuri Kuratov, Mikhail S. Burtsev
Transformer-based models show their effectiveness across multiple domains and tasks. The self-attention allows to combine information from all sequence elements into context-aware…