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Dmitry Igorevich Sorokin

2 accepted papers

2024

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

NeurIPS 2024spotlight

In recent years, the input context sizes of large language models (LLMs) have increased dramatically. However, existing evaluation methods have not kept pace, failing to comprehensively assess the efficiency of models in handling long contexts. To bridge this gap, we introduce the BABILong benchmark…

2021

Aligning an optical interferometer with beam divergence control and continuous action space

CoRL 2021poster

Reinforcement learning is finding its way to real-world problem application, transferring from simulated environments to physical setups. In this work, we implement vision-based alignment of an optical Mach-Zehnder interferometer with a confocal telescope in one arm, which controls the diameter and…

Cited by 4SourcecodeScholar