Recurrent Memory Transformer. - Aydar Bulatov; Yuri Kuratov; Mikhail Burtsev 001 (NeurIPS, 2022)

Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information. - Alla Chepurova; Aydar Bulatov; Yuri Kuratov; Mikhail Burtsev 001 (EMNLP (Findings), 2023)

Scaling Transformer to 1M tokens and beyond with RMT. - Aydar Bulatov; Yuri Kuratov; Mikhail S. Burtsev (CoRR, 2023)

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory. - Aydar Bulatov; Yuri Kuratov; Yermek Kapushev; Mikhail Burtsev 001 (AAAI, 2024)

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack. - Yuri Kuratov; Aydar Bulatov; Petr Anokhin; Ivan Rodkin; Dmitry Sorokin; Artyom Y. Sorokin; Mikhail Burtsev 001 (NeurIPS, 2024)

In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss. - Yuri Kuratov; Aydar Bulatov; Petr Anokhin; Dmitry Sorokin; Artyom Y. Sorokin; Mikhail Burtsev 001 (CoRR, 2024)

Associative Recurrent Memory Transformer. - Ivan Rodkin; Yuri Kuratov; Aydar Bulatov; Mikhail Burtsev 001 (CoRR, 2024)

Long Input Benchmark for Russian Analysis. - Igor Churin; Murat Apishev; Maria Tikhonova; Denis Shevelev; Aydar Bulatov; Yuri Kuratov; Sergej Averkiev; Alena Fenogenova (CoRR, 2024)

Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity. - Yuri Kuratov; Mikhail Arkhipov; Aydar Bulatov; Mikhail Burtsev 001 (ACL (1), 2025)