Papers by Nikolay Banar

2 papers
In Benchmarks We Trust ... Or Not? (2025.emnlp-main)

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Challenge: Existing benchmarks for Large Language Models (LLMs) are inadequate and lack a clear solution.
Approach: They propose checklists to cover all aspects of benchmarking issues, both for benchmark creation and usage.
Outcome: The proposed checklists cover all aspects of benchmarking issues, both for benchmark creation and usage.
MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch (2026.findings-acl)

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Challenge: Recent advances in embedding resources have led to a lack of representation of the Dutch language in multilingual resources.
Approach: They introduce Massive Text Embedding Benchmark for Dutch (MTEB-NL) which includes existing Dutch datasets and newly created ones, covering a wide range of tasks.
Outcome: The proposed models demonstrate strong performance across multiple tasks.

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