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Viktoriia A. Chekalina

2 accepted papers

2026

MMReD: a Cross-Modal Benchmark for Dense Context Reasoning

ICLR 2026poster

Despite recent advancements in extending context windows of large language models (LLMs) and large vision-language models (LVLMs), their ability to perform complex multi-modal reasoning over extended contexts remains critically limited. To underline this challenge, we present MMReD, a benchmark spec…

Cited by 0SourcecodeScholar
2024

SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers

EMNLP 2024main

The performance of Transformer models has been enhanced by increasing the number of parameters and the length of the processed text. Consequently, fine-tuning the entire model becomes a memory-intensive process. High-performance methods for parameter-efficient fine-tuning (PEFT) typically work with…